Find Academic Supervisors

Ali GÜLBAĞView profile

Associate Professor

• Machine Learning
• Artificial Neural Networks
• FPGA Design
• +3 more

Assoc. Prof. Dr. Ali GÜLBAĞ is an academic at the Faculty of Computer and Information Sciences , Sakarya University , specializing in Computer Engineering . His career spans over two decades, focusing on FPGA-based hardware design, machine learning applications, and educational methodologies in computer architecture. Doctorate (2003-2006): Quantitative determination of volatile organic compounds using artificial neural network and fuzzy logic-based algorithms MSc (1998-2000): Building automation using telephone lines BSc (1994-1998): Electrical-Electronics Engineering His research interests include Artificial Neural Networks , FPGA Design , and Water Resource Management , with applications in seismic event differentiation, environmental modeling, and educational technologies. Recent work emphasizes water consumption prediction using machine learning. Key projects: BZK.SAU.FPGA microcomputer architecture , Remote FPGA laboratories Publications demonstrate expertise in combining machine learning techniques (ANNs, gradient boosting, random forests) with hardware implementations for real-world problem-solving.

• Telecommunications Engineering
• Digital Signal Processing
• Embedded Systems
• +4 more

Assoc. Prof. Georgi Petrov is an academic at New Bulgarian University (NBU), holding the position of Associate Professor in the Telecommunications Department. With over two decades of experience spanning academia, international organizations, and industry, he specializes in telecommunications systems, electromagnetic field analysis, and biomedical applications of technology. Professional Roles: Acting Head of the State Customs Committee (2011–2022), full-time assistant at NBU's Faculty of Economics (2009–2011), and hardware engineer at Assen Aero (2019–2020). Research & Grants: Led projects like "Improving interdisciplinary skills in telecommunications" (2013–2015) and contributed to studies on electromagnetic fields' health impacts (2013–2014). Participated in international initiatives like I3E (2010) and Balkan Case Challenge (2009). Consulting: Independent consultant for the International Telecommunication Union (ITU Geneva), Stress-RX (USA), and defense systems like Intelligent Munitions System (2008). Expertise: Courses taught include Microprocessors , Digital Signal Processing , Human-Machine Systems , and Mobile Application Development . Membership: Part of the Union of Electronics, Electrical Engineering, and Communications (Bulgaria) and the Union of Mathematicians in Bulgaria.

• Computer Science
• Computational Linguistics
• Natural Language Processing
• +3 more

Berke Özenç is a full-time Lecturer in the Department of Computer Engineering at the Faculty of Engineering and Natural Sciences, Işık University. He teaches core computer science courses including Computer Networks, Android Programming, Microprocessors, Computer Organization, Data Structures and Algorithms, and Object Oriented Programming across multiple academic periods from 2023-2025. His educational qualifications include: PhD in Computer Engineering from Işık University Institute of Science (2018-2025) Master's Degree in Computer Engineering with thesis from Işık University Institute of Science (2016-2018) Bachelor's degree in Software Engineering from Işık University Faculty of Engineering (2011-2016) with 50% scholarship Dr. Özenç's research centers on computational linguistics for Turkic languages, specializing in morphological analysis of Turkish and Azerbaijani Turkish. His work integrates computer science with linguistic theory to develop tools like morphological analyzers and explore syntactic structures. Key contributions include visual modeling techniques, finite-state transducer implementations, and systematic studies of morphotactics for grammatical categories like person and tense. No scientific awards were documented in the source materials. Regarding academic mentorship and research funding, the available information does not specify any graduate students, advising relationships, or grant acquisitions.

Samuel RussView profile

Associate Professor

• Embedded systems
• Consumer electronics
• Signal integrity
• +1 more

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 HarbourView profile

Assistant Professor

• Engineering Education
• Embedded Systems
• Control Systems
• +7 more

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

• Power electronics
• Electric Drives
• Electrical machines
• +1 more

Shyama Prasad Das is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur. His expertise lies in the field of Power Electronics and Electrical Drives with over two decades of academic and research experience. Education: PhD, IIT Kharagpur (1997) M.Tech, IIT Kharagpur (1992) B.Tech (Hons), IIT Kharagpur (1990) Professor Das's research focuses on Power electronics, Electric Drives, Electrical machines, and Microprocessor Systems & instrumentation. His work addresses critical challenges in motor control systems, power quality enhancement, and advanced power conversion technologies. His research has resulted in significant contributions to direct torque control of induction motors and Unified Power Quality Conditioners (UPQC), with practical applications in industrial motor drives and energy-efficient power conversion systems. His publication record demonstrates a strong emphasis on experimental validation alongside theoretical analysis, particularly in power converter topologies and motor drive systems. His work spans from fundamental control strategies to practical implementation of power electronic circuits for industrial applications. Awards and Recognitions: INAE Young Engineers Award (2003) Senior Member IEEE (2002) Fellow, IETE (India) (2008) Professor Das maintains an active research program with collaborations across academia and industry. His work contributes significantly to advancing power electronic technologies and their applications in various industrial settings, particularly in improving energy efficiency and power quality in electrical systems.

Luca FanucciView profile

Professor

• Integrated Circuit Design
• Embedded Systems
• System-Level Design
• +7 more

Professor Luca Fanucci is a Full Professor of Electronics at the Department of Information Engineering , University of Pisa. He serves as Rector's Delegate for Inclusion of Students with Disabilities and leads research in integrated circuits, embedded systems, and assistive technologies . Institutional roles include membership in the National University Conference of Delegates for Disability (CNUDD) and leadership in the PhD program in Information Engineering. Born: Montecatini Terme (1965) Education: Laurea in Electronic Engineering (1992), PhD in Information Engineering (1996), University of Pisa Professional Journey: ESA research (1992-1996), CNR researcher (1996-2004), University of Pisa faculty (2004-present) His research focuses on: System-level design of integrated circuits and embedded systems Hardware-software co-design for low power consumption Spacecraft and satellite communication systems Medical devices and telemonitoring platforms Assistive technologies for disabilities Recent publications highlight AI in space applications and telemedicine systems . Key projects include the Ingeniars spin-off for satellite communications and the AsTech National Laboratory for assistive technologies. Scientific Recognition : IEEE Fellow (2019) 40+ patents H-index 34 (5000+ citations) He coordinates international conferences (DATE, HiPEAC, Spacewire) and serves as Associate Editor for Technology and Disability and Microprocessors and Microsystems journals.

Naveen VermaView profile

Associate Professor

• Advanced Sensing Systems
• Machine Learning
• Statistical Signal Processing
• +3 more

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

• Computer Architecture
• VLSI Design
• Hardware Testing and Verification
• +3 more

Subhasish Mitra is a Professor in the Department of Electrical Engineering and by courtesy in Computer Science at Stanford University’s School of Engineering. His pioneering work focuses on creating robust, error-tolerant hardware systems through the Resilient Silicon paradigm, addressing critical challenges in modern microprocessors and memory design. Education Ph.D. in Electrical Engineering, Stanford University, 1999 B.Tech. in Electrical Engineering, Indian Institute of Technology Kharagpur, 1994 His research spans Computer Architecture , VLSI Design , and Hardware Security , with breakthroughs in defect-tolerant circuits and aging-induced error mitigation. Mitra’s work bridges theoretical innovation and industrial adoption, notably in Intel’s high-volume manufacturing processes. Key recognitions include: IEEE Fellow (2015) for “contributions to design and test of robust microprocessors” ACM Fellow (2015) for foundational reliability frameworks Phil Kaufman Award (2020), EDA’s highest honor He leads Stanford’s Robust Systems Group with sustained funding from NSF, DARPA, and semiconductor industry partners, driving next-generation secure hardware for AI accelerators and IoT devices.

• Electrical Metrology
• Microprocessor Technology
• Embedded Systems Programming

Prof. Stanisław Chudzik is affiliated with the Faculty of Electrical Engineering at Częstochowa University of Technology. He has been actively teaching courses on Electrical Metrology and Microprocessor Technology since 2017, with recent additions of embedded systems programming modules. His consultation hours are listed as Sundays from 5:15 PM to 6:45 PM in room C115. Teaching focus areas: Electrical Metrology Microprocessor Technology Embedded Systems Programming Course codes: WE-AIR-D1-METEL-04, WE-AIR-D1-TECMI-03, WE-INF-D2-PSWWJC-03

Ben MessickView profile

Visiting Assistant Professor

• Computer Architecture
• Operating Systems

Ben Messick is a Visiting Assistant Professor of Computer Science in the Computer Science & Engineering Department at Taylor University. He holds an MS in Computer Science from Clemson University and a BS in Computer Science from Indiana Institute of Technology. His professional journey includes pioneering as Navistar's first webmaster and a 20-year tenure as a Police Officer in the Fort Wayne Police Department, where he contributed to community safety and bike patrol initiatives. Research Focus Professor Messick specializes in computer architecture and operating systems . His research explores hardware-software interactions, performance optimization in computing systems, and algorithmic solutions for complex computational problems. Publications Overview His scholarly work addresses two domains: (1) Computer Architecture , analyzing commercial workload impacts on hardware components like caches and TLBs; and (2) Computational Intelligence , employing parallel genetic algorithms to solve graph-theoretic challenges. Publications consistently emphasize practical applications in real-world systems. Awards & Honors Alpha Lambda Epsilon Honor Society IIT College of Engineering Outstanding Graduate (2005) Outstanding Contribution to the Community Justice Award (2008) Letter of Commendation for Life Saving Actions

Jan RichlingView profile

Professor

• Microprocessor systems
• Embedded systems
• Real-time systems
• +3 more

Prof. Dr.-Ing. habil. Jan Richling serves as a Professor in the Department of Electrical Engineering and Information Technology at South Westphalia University of Applied Sciences in Hagen, Germany. Based in Room H.318 at Haldener Straße 182 (58095 Hagen), he maintains active academic engagement with consultation hours by appointment and can be contacted via phone (+49 2331 9330-6219) or email (richling.jan@fh-swf.de). His research expertise spans critical domains in computer engineering, with particular focus on: Microprocessor architecture and design Embedded system optimization Real-time operating environments Network protocol implementation Energy-efficient computing solutions Fail-safe system reliability These interconnected fields address modern challenges in efficient, robust computing infrastructure. Prof. Richling's teaching portfolio includes foundational and advanced courses such as Microcontroller Systems, Computer Organization, Operating Systems, IP Networks Programming, and Fail-safe Systems (a compulsory elective), directly reflecting his research specializations. No information regarding scientific awards, graduate student supervision, research grants, or laboratory facilities was provided in the source material.

Paulo Jorge CoelhoView profile

Adjunct Professor

• Industrial Automation
• Computer Vision
• Machine Learning
• +4 more

Paulo Jorge Coelho serves as an Adjunct Professor in the Electrical Engineering Department at the School of Technology and Management, Polytechnic University of Leiria, and as an integrated researcher with the ROBiTECH (Advanced Robotics and Smart Factories) group at INESC Coimbra's Leiria delegation. With over 20 years of academic experience since 2004, he specializes in Microprocessors, Industrial Automation, and Computer Vision instruction. Education: Ph.D. in Informatics (2019), Trás-Os-Montes and Alto Douro University Specialization in Automation and Control (2007), Coimbra University Bachelor of Electrical Engineering (2004), Coimbra University Research Focus: His work bridges industrial automation and computer vision with cutting-edge machine learning applications in biomedical imaging, ambient assisted living, and assistive technologies. Current projects emphasize practical implementations for reducing physical impairments and enhancing healthcare solutions through deep learning frameworks. Publication Trends: Recent work (2024-2025) reveals strong interdisciplinary convergence between healthcare diagnostics (schizophrenia/EEG analysis, perinatal depression prediction) and industrial/computer vision systems (sports analytics, activity recognition). His research consistently leverages sensor fusion and deep learning architectures to solve real-world problems across medical and engineering domains. Professional Engagement: Active member of the Portuguese Engineers Order and Portuguese Association for Pattern Recognition, with significant editorial contributions (89+ edited articles) across AI and computer vision domains. Previously served as course director and Scientific-Pedagogical Committee member for the Master's in Electrical and Electronic Engineering. Research Infrastructure: Operates within ROBiTECH's advanced robotics ecosystem at INESC Coimbra, focusing on smart factory solutions and human-robot interaction systems. His lab environment integrates industrial automation testbeds with biomedical sensor networks for cross-domain innovation.

Krista HillView profile

Associate Professor

• Embedded Microprocessor Applications
• Field Programmable Gate Array
• Reconfigurable Hardware Applications
• +1 more

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.

Nader RaflaView profile

Associate Professor

• Embedded Systems
• Hardware Design
• Digital Image Processing
• +4 more

Nader Rafla is an Associate Professor in the Department of Electrical and Computer Engineering at Boise State University, where he has served since January 1997 after previously holding an Associate Professor position in Manufacturing Engineering at Central State University from 1991 to 1996. His academic credentials include: Ph.D. in Electrical Engineering from Case Western Reserve University (1991) MSEE from Case Western Reserve University (1984) Dr. Rafla's research centers on embedded systems design with emphasis on systems-on-programmable-chip and microprocessor-based architectures. He develops hardware implementations for digital image and signal processing algorithms applied to object recognition, industrial inspection, automation, and control systems. His industrial consulting with Micron Technology and Hewlett Packard demonstrates real-world application of these techniques. He maintains professional distinction as a Senior Member of IEEE and multiple IEEE societies. At Boise State, Dr. Rafla has supervised numerous Master's theses and senior design projects while leading the development of the MS in Computer Engineering program.