Find Academic Supervisors

• High-performance computing
• Decimal arithmetic
• Parallel programming
• +4 more

Alvaro Vazquez Alvarez is an Assistant Professor at the Higher Technical School of Engineering, University of Santiago de Compostela. He holds a PhD in Computer Engineering (2009) from the same institution, focusing on High-performance decimal floating point units under the supervision of Dr. Elisardo Antelo Suárez. His research interests span high-performance computing, decimal arithmetic hardware design, parallel programming models, and LiDAR data processing. His work emphasizes FPGA implementation of arithmetic units, numerical algorithms optimization, and compiler/runtime systems for parallel environments. He leads the CograDe Research Group (Computer Graphics and Data Engineering), exploring advanced topics in parallel computing and data engineering applications. Key contributions include universal MPI binding frameworks for new languages and efficient LiDAR point cloud processing algorithms. Notable technical expertise includes: digit-by-digit algorithms, redundant number systems, CORDIC-based computations, and multi-operand decimal arithmetic implementations. His publications bridge theoretical numerical methods with practical hardware/software co-design solutions. Current research focuses on extending parallel programming interfaces, improving decimal arithmetic precision in modern architectures, and applying advanced geometric processing techniques to 3D data challenges.

Vladimir M. StojanovicView profile

Visiting Professor

• Integrated systems
• modeling of noise and dynamics
• digital communications
• +4 more

Vladimir M. Stojanovic is a Visiting Professor at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Electrical Engineering and Computer Science and the Research Laboratory of Electronics. Dr. Stojanovic was born in 1974 in Kragujevac, Serbia. He graduated from the Faculty of Electrical Engineering in Belgrade and completed his master's thesis and doctoral dissertation at Stanford University in the United States. His research spans several key areas in electrical engineering and computer science, with particular expertise in integrated systems design. His work focuses on modeling of noise and dynamics in complex systems, digital communications protocols, and the design of analog and VLSI circuits. He has made significant contributions to communications and signal processing technologies, with recent work emphasizing high-speed electrical and optical links and transceiver design. His research has practical applications in high-performance computing, telecommunications infrastructure, and next-generation networking technologies. As a Visiting Professor at MIT's Research Laboratory of Electronics, Dr. Stojanovic contributes to one of the world's leading research institutions in electrical engineering and computer science. The Research Laboratory of Electronics at MIT is known for its interdisciplinary approach, bringing together researchers from various fields to tackle complex technological challenges.

• Computer Science
• Electrical Engineering
• Computer Architecture
• +3 more

Oliver M. Vojinović serves as an Assistant Professor in the Department of Electrical Engineering and Computing at the Faculty of Electronic Engineering, University of Niš. Appointed to his current academic rank in 2017 after serving as an assistant trainee since 2001, he maintains active roles in teaching and research within Serbia's academic framework. His educational foundation includes a Bachelor's degree (2000) and Master's degree (2008), both in Electrical Engineering and Computer Science from the Faculty of Electronic Engineering. These qualifications established his technical expertise in computing systems and electrical engineering disciplines. Dr. Vojinović's research spans Computer Science, Electrical Engineering, and Education Technology, with concentrated efforts in Computer Architecture simulation tools and optimized Signal Processing implementations. His work bridges theoretical computing concepts with practical engineering applications, particularly through development of educational simulation environments like SimArch for computer architecture instruction. Analysis of his publication history reveals consistent contributions to folded FIR filter architectures and computer science education methodologies. The trajectory shows evolving focus from hardware implementation (2002-2004) toward pedagogical applications of computing (2005-2007), demonstrating interdisciplinary integration of engineering principles with educational innovation. Currently engaged in one national and one international research project, he contributes to academic advancement through project-based learning initiatives and TEMPUS mobility programs. His institutional involvement includes participation in faculty quality assurance frameworks and continuous education programs at the University of Niš.

Dan NICULAView profile

Professor

• Digital Systems
• Hardware Description Languages
• Electronics Design
• +4 more

Professor Dan NICULA is a faculty member at the University of Transilvania in Brașov, Romania. He holds a Doctorate in Engineering (2017) from the same institution and a Master's degree in Applied Electronics Engineering from the Polytechnic University of Bucharest (1990). His academic roles include teaching courses such as Digital Electronics, Hardware Description Languages, and Digital Media Communication across undergraduate and graduate programs in Electrical Engineering and Computer Science. His research focuses on digital systems, hardware description languages (Verilog/VHDL), and electronic circuit design. Key contributions include textbooks like 'Digital Electronics: Emergency Textbook' (2020) and 'Verilog Textbook' (2019), which are foundational resources for students and professionals. He has supervised over 150 student theses, with recent topics spanning FPGA-based AI accelerators, UVM verification methodologies, and embedded system implementations. Professional experience includes roles at Intel (1999-2015) and Fotonation (2015-present), alongside his academic career. He is affiliated with the Faculty of Electrical Engineering and Computer Science and contributes to research initiatives in VLSI design, digital signal processing, and hardware-software co-design.

• Circuit Design
• Signal Processing
• Electronics
• +5 more

Radu Gabriel Bozomitu is an Assistant Professor at the Department of Electronics and Telecommunications, Faculty of Electronics, Telecommunications and Information Technology, Technical University of Iasi. His research focuses on advanced circuit design, signal processing, biomedical engineering, and assistive technologies. Key areas include VLSI design of active filters, pupil detection algorithms for eye-tracking systems, and medical sensor integration with cloud-based platforms. He has contributed to software-defined radio systems, FM transmission frameworks, and embedded hardware for telemedicine applications. Education details are not explicitly stated, but his publications indicate expertise in analog circuits, biomedical signal processing, and assistive communication systems for disabled patients. His work spans from theoretical circuit optimization (e.g., ring oscillators for ADCs) to practical implementations like gyro-mice and real-time pupil detection systems. Research highlights include developing high-accuracy neural network-based pupil detection systems, robust radiocommunication frameworks, and medical monitoring devices. His algorithms for eye-tracking and FM-based driver warning systems reflect interdisciplinary collaboration between electronics and healthcare. While no awards are listed, his extensive publication record demonstrates significant academic contributions. Bozomitu collaborates on hardware-software integration projects, such as wireless sensor networks for bioimpedance monitoring and cloud-integrated medical systems. His work bridges theoretical advancements in RF engineering with practical applications in assistive technologies and telemedicine.

Michael SantoraView profile

Assistant Professor

• Electrical Engineering
• Computer Engineering
• Embedded Systems
• +3 more

Michael Santora is an Assistant Professor in the Department of Electrical and Computer Engineering at the College of Engineering & Science, University of Detroit Mercy. He is based on the McNichols Campus (Room 322) and can be reached at 313-993-0427 or santormj1@udmercy.edu . Research Interests: Electrical Engineering Computer Engineering Embedded Systems Signal Processing Control Systems VLSI Design

Elena HadzievaView profile

Professor

• Fractal Geometry
• Iterated Function Systems
• Computer Aided Design
• +4 more

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

Aaron D LantermanView profile

Professor

• Radar Systems
• Image Reconstruction
• Target Recognition
• +2 more

Aaron D Lanterman is Professor at Georgia Institute of Technology's School of Electrical and Computer Engineering. He holds triple B.S. degrees in music, computer science and electrical engineering (1993), plus M.S. (1995) and D.Sc. (1998) in electrical engineering from Washington University. Research spans radar systems, image reconstruction, target recognition, music synthesis, and signal processing. Recent work focuses on statistical inference methods, astronomical imaging, audio circuit analysis, and radar target identification. Honors include the 2006 Richard M. Bass Teaching Award and NIC Certificate of Excellence for intelligence community contributions. Active in IEEE and SPIE societies with chair roles at SPIE Aerosense conference. Industry experience includes concert promotion, recording engineering, and editorial roles in music publications. Maintains keyboard/guitar performance practice alongside technical research.

Vijay K MadisettiView profile

Adjunct Professor

• Digital Signal Processing
• Embedded Systems
• Wireless Networks
• +2 more

Vijay Madisetti is an Adjunct Professor at Georgia Tech, focusing on digital signal processing, embedded systems design, and VLSI implementation. He has developed educational frameworks for technology instruction and maintains industry collaborations in telecommunications and electronics. As Executive Director of Georgia Tech's India Initiative, he promotes international academic partnerships. His research bridges theoretical concepts with practical implementations in computing hardware and software systems.

Visvesh S SatheView profile

Associate Professor

• Energy-Efficient Computing
• Implantable Electronics
• Power Management Systems
• +5 more

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.

Esraa KhatabView profile

Assistant Professor

• Computer Vision
• Autonomous Vehicles
• Embedded Systems
• +5 more

Dr. Esraa Khatab is an Assistant Professor at the School of Mathematical and Computer Sciences, Heriot-Watt University (Dubai Campus). She holds a PhD from the University of Central Lancashire (2024), and prior degrees from AASTMT Egypt (BEng 2014, MEng 2016). With 11 years of academic experience, she has taught courses like Data Structures, Computer Architecture, and Systems Programming. She is currently completing a PGCert in Teaching & Learning at Heriot-Watt. **Education**: BEng (Hons) Computer Engineering, AASTMT (2014) MEng (Hons) Computer Engineering, AASTMT (2016) PhD in Computer Science, University of Central Lancashire (2024) Her research focuses on Computer Vision, Autonomous Vehicles, and Embedded Systems , with applications in healthcare (medical imaging), precision agriculture, and AI-driven safety systems. Her work addresses challenges like autonomous vein injection, weather-resistant vision systems, and vulnerable object detection for self-driving cars. Awards : Associate Fellow of Advanced HE. Teaching & Roles**: Computer Science Year 1 Coordinator (January intake) Course coordinator for Hardware-Software Interfaces, Data Structures, and Systems Programming Accepting PhD students Her research aligns with UN SDGs related to innovation and infrastructure, sustainable cities, and health equity.

• Electronic Circuits
• VLSI Design
• Telecommunication
• +3 more

Prof. Murat AŞKAR is a Professor in the Faculty of Engineering, Department of Electrical and Electronics Engineering at İzmir University of Economics, with a distinguished career including service as Rector (2019-2023), Vice Rector (2014-2018), and Director of the Graduate School of Natural and Applied Sciences. He holds a Ph.D. in Electrical Engineering from Middle East Technical University. His research focuses on: Electronic circuits and VLSI design Telecommunication systems Industrial fault detection using deep learning Science policy and technology innovation He has pioneered projects including Turkey's first VLSI Design Center and Low Orbit Earth Observation Satellite program. His publications demonstrate strong trends in: Machine learning applications for industrial systems Advanced VLSI methodologies Signal processing techniques Recent works focus on neural networks for fault detection while earlier contributions established fundamental methods in Bayesian smoothing and CMOS design. Awards include: Science Incentive Award (TÜBİTAK, 1987) 3rd Science Award (PTT, 1990) Academic Achievement Award (METU, 2001) Administrative leadership includes roles as OECD representative for ICT policy and Vice Chair of Turkish Informatics Society. He has supervised graduate research on solar energy optimization and teaches courses spanning analog electronics to engineering mathematics.

Yunsi FeiView profile

Professor

• Hardware-oriented security
• Computer Architecture
• Embedded Systems
• +7 more

Yunsi Fei is a Professor in the Electrical and Computer Engineering Department at Northeastern University, serving concurrently as Associate Dean of Faculty Affairs. She leads the Northeastern site of the NSF IUCRC Center for Hardware and Embedded System Security and Trust (CHEST). Her research focuses on hardware-oriented security, computer architecture, embedded systems, and IoT security, with significant contributions to mitigating side-channel and fault attacks on neural networks and hardware systems. Fei holds a PhD in Electrical Engineering from Princeton University (2004), and bachelor’s and master’s degrees in Electronic Engineering from Tsinghua University. She joined Northeastern in 2011 after faculty roles at the University of Connecticut. Her research interests span secure computer architecture, energy-efficient embedded systems, and underwater sensor networks. Notable projects include RINGS (a NSF-funded IoT resilience initiative) and secure RISC-V processor design. She has received the NSF CAREER Award and multiple best paper awards at top conferences. Fei’s work integrates hardware-software co-design to address vulnerabilities in AI accelerators and cryptographic systems. She leads the Energy-Efficient and Secure Systems (ENESS) Lab and collaborates with industry and academia through CHEST. Recent grants include $1.5M for cybersecurity in additive manufacturing and $1M for spectrum-agile IoT systems. Her awards include a 2023 Distinguished Paper Award (AsiaCCS) and 2022 Best Paper (Great Lake VLSI). She mentors students like Ruyi Ding, who joined LSU as faculty in 2025. Fei also chairs sessions on hardware security and is an affiliated faculty member with Northeastern’s Institute of Information Assurance.

Waleed MeleisView profile

Associate Professor

• Combinatorial optimization
• Machine Learning
• Large-scale machine learning
• +7 more

Waleed Meleis is an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University and serves as Vice Provost for Graduate Education. He holds an MS and PhD from the University of Michigan and a BSE from Princeton University. His primary research focuses on combinatorial optimization, machine learning, assistive technology, and large-scale social experimentation platforms like Volunteer Science. He pioneered the Enabling Engineering student group, which designs assistive devices for individuals with disabilities, supported by over $350K in external funding. His leadership roles include Interim Vice Provost for Oakland Campus and Associate Dean for Graduate Education, driving significant enrollment growth and program development. Notable awards include multiple Martin W. Essigmann Teaching Awards and the Eta Kappa Nu Professor of the Year Award. His work bridges technical innovation with societal impact, particularly in healthcare and education. Education: PhD, Computer Science and Engineering, University of Michigan, 1996 MS, Computer Science and Engineering, University of Michigan, 1992 BSE, Electrical Engineering, Princeton University, 1990 Research: Combines algorithm design for engineering problems (e.g., cloud computing, spectrum management), social science experimentation platforms, and assistive technology development for rehabilitation. Leadership: Vice Provost for Graduate Education since 2023 Interim Vice Provost and Academic Lead for Oakland Campus (2023–2024) Associate Dean for Graduate Education (2020–2022) Awards: Recognized for teaching excellence and innovation in education across multiple years, including the 2010 Eta Kappa Nu Professor of the Year Award. Publications: Over 50 peer-reviewed papers in areas spanning reinforcement learning, distributed systems, and biomedical engineering. Grants: Secured funding from NSF, Army Research Lab, and private foundations for projects including Volunteer Science and Enabling Engineering initiatives. His interdisciplinary Dialogue of Civilizations course explores scientific revolutions, blending historical and computational perspectives. Enabling Engineering has delivered 60+ projects with clinical partners, emphasizing inclusive engineering education.

• Computer Architecture
• Microelectronics
• Nanoscale Technology
• +9 more

Dr. Paul Beckett is an Honorary Associate Professor in the School of Engineering at RMIT University. His research focuses on cutting-edge areas such as computer architecture, nanoscale microelectronics, digital logic design, and photonics. He specializes in low-power circuit design, FPGA-based systems, and sensor technologies with applications in healthcare and environmental monitoring. Beckett's teaching interests include embedded systems, VLSI design, and hardware description languages (VHDL). His research spans disciplines such as electronics, communications engineering, and distributed computing, with notable contributions to null convention logic (NCL) circuits, plasmonic sensors, and spectral imaging systems. He has collaborated on innovative projects like the TIARA apnea monitoring system and wearable health technologies. His recent work emphasizes interdisciplinary applications, including healthcare technology and biomimetic optical systems. Notable publications include advancements in gas sensing (H2S detection), THz spectrum analysis, and machine learning optimization for embedded systems. Beckett actively supervises research projects in asynchronous computing architectures and nanotechnology.