Find Academic Supervisors

Sk Khairul HasanView profile

Assistant Professor

• Robotics
• Mechatronics
• Nonlinear Control
• +5 more

Sk Khairul Hasan is an Assistant Professor in the Department of Mechanical and Manufacturing Engineering at Miami University. His research focuses on robotics, mechatronics, nonlinear control, and data-driven modeling, with particular emphasis on exoskeleton systems for human rehabilitation. He teaches undergraduate and graduate courses in electrical and mechanical engineering, emphasizing foundational knowledge transfer. Dr. Hasan holds a Ph.D. in Mechanical Engineering from the University of Wisconsin-Milwaukee (2021), an M.S. in Mechatronics Engineering from International Islamic University Malaysia (2010), and a B.Sc. in Mechanical Engineering from Khulna University of Engineering and Technology (2008). His research interests include exoskeleton robot design, mechatronics systems, mobile robotics, and industrial IoT. Notable projects include an 8-DOF lower extremity exoskeleton for rehabilitation, fuzzy logic controllers for hybrid vehicles, and a 3-DOF programmable manipulator arm. Recent publications highlight advancements in exoskeleton control systems, including radial basis function controllers and sliding mode control algorithms. His work bridges theoretical control strategies with practical robotic applications in healthcare and industry. Recipient of the UWM Chancellor Award for Outstanding Research (2021) Member of IEEE Robotics and Automation Society, SAE, and Institute of Engineers Bangladesh Labs/Teams: Biomechatronics System Design Laboratory.

Vadim GeurkovView profile

Associate Professor

• Built-In Self-Test and Self-Repair in Reconfigurable Computing Systems
• Digital and Mixed-Signal Systems Testing and Testable Design
• Self-Diagnosis in Microprocessor Based Measurement Instruments
• +2 more

Vadim L. Geurkov is an Associate Professor at the Department of Electrical and Computer Engineering, Toronto Metropolitan University. He earned an M.A.Sc. in Electrical Engineering from Georgian Technical University (1981) and a Ph.D. in Computer Engineering from the Institute of Control Sciences, Moscow (1993). Research Focus: Specializes in digital and mixed-signal systems testing, with expertise in built-in self-test/repair mechanisms, fault tolerance, error-control codes, and self-diagnosis in reconfigurable computing systems. His work bridges theoretical and applied aspects of hardware reliability. Industry Collaborations: Led projects with OCE-CCIT, MDA Space Missions Inc., NSERC, and other partners on reconfigurable processors, FPGA self-restoration, and error-control applications. Professional Affiliations: Senior IEEE member, ACM member, and licensed with the Ontario Society of Professional Engineers.

• Internet of Things (IoT)
• Environmental Monitoring Systems
• Autonomous Vehicles
• +6 more

Professor Tomasz Zientarski is a faculty member at Lublin University of Technology's Faculty of Electrical Engineering and Computer Science, Department of Computer Science. His research spans interdisciplinary areas including IoT applications, environmental monitoring systems, autonomous vehicle design, molecular dynamics simulations, and computer science education challenges. He actively contributes to scientific expeditions such as the 10th Central Asia expedition using 3D digital technology and participates in events like LubGame Conference 2025. His academic projects include the Integrated Development Programme of the university, Universal Design initiatives, and the T1D Coach project. He advises students on thesis topics involving IoT systems, environmental data visualization, and autonomous vehicle monitoring. He has been honored with the Medal of Merit for the city of Lublin as part of the Department's recognition. His work integrates computational physics (e.g., Lennard-Jones potential modeling) with practical applications like diabetes patient simulation and noise-resistant audio detection. Tools he uses include Moodle, Microsoft Azure, and Visual Paradigm. Research trends in his publications show dual focus: applied CS innovations (IoT, OCR, medical simulations) and fundamental material science studies (thin film stress, molecular dynamics). His 2024 articles highlight advancements in deepfake detection and NLP, while earlier work addresses barriers in educating international students and optimizing wireless communication models. His lab activities include maintaining a traffic acquisition station and preserving cultural heritage through 3D technology.

Aladin SabanovicView profile

Adjunct Professor

• Control Systems
• Industrial Automation
• Motion Control Technology
• +3 more

Aladin Sabanovic is an Adjunct Professor in the Department of Electrical & Computer Engineering and Computer Science at the Tagliatela College of Engineering, University of New Haven. He has taught courses such as Analog Circuits, Junior Design Experience, and Control Systems for nearly a decade. Concurrently, he serves as a Design Engineer at Advanced Micro Controls Inc. in Terryville, CT, specializing in position sensing, motion control technology, and industrial communication networks. Education: M.S. in Electrical Engineering, University of New Haven B.S. in Electrical Engineering, University of Sarajevo His professional work focuses on industrial automation systems, including applications development for programmable logic controls and networked industrial systems. While no awards or specific grants are noted, his teaching and industry experience reflect expertise in electrical engineering and control systems.

• Remote Access Laboratories
• Engineering Education
• Robotics
• +3 more

Associate Professor Andrew Maxwell is affiliated with the School of Engineering at the University of Southern Queensland, specializing in Electronics and Communications Engineering. His research focuses on remote access laboratories, engineering education innovation, and interdisciplinary applications in robotics and biomedical science. He holds a BEng and PhD from USQ. His research interests span telecommunication systems optimization, augmented reality integration in labs, and curriculum development aligning with future professional needs. Over 14233 downloads of his outputs highlight his impactful work in STEM education and engineering technologies. Recent articles explore AI-driven pedagogy, spider population monitoring via vibration, and 3D bioprinting in biomedical education. His work emphasizes bridging theory-practice gaps through remote experimentation and immersive technologies. No scientific awards are explicitly mentioned, but his contributions have been widely accessed globally. He has advised on numerous educational technology projects and contributed to open-source frameworks like RALfie for remote lab management. Labs/Teams: Core contributor to RALfie platform development and international collaborations in STEM education technology.

Christos KozyrakisView profile

Professor

• Computer Architecture
• Computer Systems
• Cloud Computing
• +6 more

Christos Kozyrakis is a Professor in the Departments of Electrical Engineering and Computer Science at Stanford University. His research focuses on computer architecture, computer systems, and cloud computing, with contributions to energy-efficient systems, machine learning infrastructure, and database-oriented operating systems. He leads the MAST research group and directs the Stanford Platform Lab. Education: Bachelor's Degree in Computer Science, University of Crete PhD in Electrical Engineering and Computer Sciences, University of California, Berkeley Research Interests: Kozyrakis explores cloud management, machine learning systems, energy-efficient architectures, and hardware-software co-design. Notable projects include DBOS (a database-oriented OS), the MAST group's work on serverless computing and storage systems, and energy-proportional data center design. Awards: ACM SIGARCH Maurice Wilkes Award ISCA Influential Paper Award NSF Career Award Okawa Foundation Research Grant ACM and IEEE Fellowships Advising & Grants: Supervised over 20 PhD and master's students, with notable alumni contributing to academia and industry. Supported by NSF, DARPA, SRC, Google, Microsoft, and other industry collaborations. Labs & Teams: Leads the MAST research group and directs the Stanford Platform Lab, focusing on cutting-edge systems research and prototyping.

Vijay KrishnaView profile

Professor

• Economic Theory
• Industrial Organization
• Computer Engineering
• +3 more

Vijay Krishna is a Distinguished Professor of Economics at Penn State University and serves as the Job Market Placement Director in the Department of Economics. His academic career includes a Ph.D. in Economics from Princeton University (1983), an M.A. in Economics from Delhi University (1978), and a B.A. in Mathematics from Delhi University (1976). His research focuses on Economic Theory and Industrial Organization , with recent interdisciplinary contributions in electronics and computer engineering. Notable areas include ferroelectric devices, memory storage technologies, and hardware security. He has also explored neural network architectures and energy-efficient computing systems. Recent publications (2023–2025) highlight innovations in cryogenic logic gates, nonvolatile memory systems, and hybrid neural networks. His work often bridges theoretical economics with applied engineering, reflecting cross-disciplinary collaboration. Awards and grants are not explicitly listed in the provided materials, but his extensive publication record underscores sustained academic engagement. Professor Krishna advises on job market placements for economics PhD students and maintains an active role in academic administration. His research group explores cutting-edge technologies in both traditional economic theory and emerging computational fields.

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.

• Topological Quantum Computing
• Spintronics
• Iontronics
• +5 more

Dr. Guo-Xing Miao is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, with affiliations to the Institute for Quantum Computing. His research focuses on spintronics, iontronics, and topological quantum computing, emphasizing novel materials and devices for energy-efficient information processing. He holds a BSc from Shandong University (1999), a PhD from Brown University (2006), and postdoctoral experience at MIT (2011). Key research areas include spiontronics, memristors, neuromorphic computing, and the development of advanced nanoelectronic systems. He has been recognized with the 2017 Ontario Early Researcher Award. Dr. Miao is active in professional organizations such as IEEE, MRS, and APS, and teaches courses ranging from semiconductor physics to quantum circuits. Education: BSc, Shandong University, 1999 PhD, Brown University, 2006 Research Scientist, MIT, 2011 Recent Teaching: ECE 231: Semiconductor Physics and Devices (2023) ECE 405D: Superconducting Quantum Circuits (2025) NANO 601: Characterization of Nanomaterials (2022–2025) Research Highlights: Design of spin-based quantum computing architectures Development of iontronic memory devices Interfacial engineering in resistive switching systems His lab focuses on merging spin and ion dynamics to create next-generation devices, with a particular emphasis on scalable fabrication techniques. Dr. Miao actively supervises graduate students and maintains Sole-Supervisory Privilege Status (SSPS) for doctoral admissions.

Marco CookView profile

Researcher

• Cyber-Security
• Industrial Control System Security
• Anomaly Detection
• +2 more

Dr. Marco Cook is a Research Associate (academic rank mapped to Researcher) at the School of Computing Science, University of Glasgow. He is an active member of the GLAsgow Systems Section (GLASS) and affiliated with the Netlab (Networked Systems Research Laboratory) and Cyber Defence Lab research groups. Cook completed his PhD in 2023 through an EPSRC iCASE studentship award supported by the Defence Science and Technology Laboratory (Dstl). Research Focus Cook's research specializes in cyber-physical systems security with emphasis on: Industrial Control System (ICS) anomaly detection and forensics Programmable Logic Controller (PLC) vulnerability analysis Cyber resilience for Critical National Infrastructure eBPF-based network security solutions Operational Technology (OT) protection mechanisms His work integrates formal methods, machine learning, and systems engineering approaches. Publication Analysis Cook's 15 most recent publications (2020-2025) demonstrate consistent focus on industrial control system security, with emerging emphasis on eBPF-based network programmability for OT environments. Dominant themes include: anomaly detection frameworks (40%), PLC security (33%), ICS forensics (20%), and programmable network architectures (27%), frequently intersecting cyber-physical systems concepts. Research Groups & Funding Active in Glasgow's Netlab (networked systems) and Cyber Defence Lab . PhD funded by EPSRC iCASE studentship with Dstl partnership. Current projects involve eBPF-based OT resilience and ICS anomaly diagnosis frameworks.

Ryan HaywardView profile

Professor

• Soft Materials Science
• Polymer Chemistry
• Active Materials
• +5 more

Ryan Hayward is the James and Catherine Patten Endowed Professor of Chemical and Biological Engineering and Department Chair at the University of Colorado Boulder. His research focuses on designing active polymer materials that respond dynamically to external stimuli, including light, temperature, and mechanical forces. Key areas include self-assembly of nanostructured materials, mechanics of soft active materials, and co-continuous phase formation in polymers. Education: B.S.E. in Chemical Engineering from Princeton University (1999), Ph.D. in Chemical Engineering from UC Santa Barbara (2004). His work bridges polymer chemistry, soft matter physics, and materials engineering, with applications in renewable energy, encapsulation, and smart materials. Research Group: Hayward Research Group (specializing in stimuli-responsive materials and nanocomposites) Key Technologies: Photomechanical actuation, ionoelastomer junctions, and co-continuous nanostructures Notable achievements include over 150 peer-reviewed publications, major awards like the NSF CAREER Award, and leadership roles in national research initiatives. His group collaborates on projects ranging from shape-programmable hydrogels to electro-adhesive systems. Awards include the Presidential Early Career Award for Scientists and Engineers (2010), Fellow of the American Physical Society (2018), and Blavatnik National Awards Finalist (2018). His research has been funded by the DOE, NSF, and industry partnerships.

• Cybersecurity
• Fuzzing Techniques
• Programmable Logic Controllers
• +1 more

Kai Feng is a Tutor in the School of Computing Science at the University of Glasgow specializing in cybersecurity and industrial control systems. His research develops advanced fuzzing techniques for critical infrastructure security. Primary research examines vulnerability detection in Programmable Logic Controllers through novel fuzzing methodologies. His 2023 publication introduces sequential fuzzing techniques for industrial ladder diagrams.

Michael B. ElowitzView profile

Professor

• Synthetic Biology
• Systems Biology
• Gene Circuit Design
• +4 more

Michael B. Elowitz is the Roscoe Gilkey Dickinson Professor of Biology and Bioengineering at the California Institute of Technology (Caltech) and an Investigator at the Howard Hughes Medical Institute (HHMI). He holds a B.A. from the University of California (1992), and an M.A. and Ph.D. from Princeton University (1999). His research focuses on synthetic and systems biology, particularly designing biological circuits to program cellular behaviors and understand natural developmental and signaling pathways. Key interests include gene circuit dynamics, intercellular communication, and synthetic therapeutic systems. Elowitz’s lab combines synthetic biology with reconstitution of natural pathways to study how cells process signals and develop. Recent work emphasizes mammalian systems, targeting capabilities like cellular coordination, computation, and memory. Notable projects include molecular recording systems for lineage tracking and synthetic circuits for cancer therapy. He leads the HHMI team and served as Executive Officer at Caltech (2013–2020). Education: B.A., University of California, 1992 M.A. & Ph.D., Princeton University, 1999 Awards: Howard Hughes Medical Institute Investigator (2008–present) Bren Scholar (2003–2009) Publications highlight advancements in programmable cell death, RNA export technologies, and insights into Notch and BMP signaling. His work bridges fundamental biology with translational applications, including cell-based therapeutics and diagnostic tools.

Michael ElowitzView profile

Professor

• Systems Biology
• Synthetic Biology
• Gene Regulation Networks
• +4 more

Michael Elowitz is the Roscoe Gilkey Dickinson Professor of Biology and Bioengineering at the California Institute of Technology (Caltech) and an Investigator at the Howard Hughes Medical Institute (HHMI). He leads the Elowitz Lab, which focuses on synthetic and systems biology, designing biological circuits to uncover principles of gene regulation and develop therapeutic tools. His work spans protein circuit engineering, cell signaling, and developmental biology, with applications in cell therapies and lineage tracking. Education: B.A., University of California, 1992 M.A. and Ph.D., Princeton University, 1999 Research Interests: Elowitz's lab pioneers synthetic biology approaches to create programmable genetic circuits, study noise in gene expression, and model developmental processes. Key areas include: Design of synthetic gene circuits for cell fate control Mechanisms of cell signaling and decision-making MEMOIR (Molecularly Encoded Memory In REporting) systems for lineage tracking Engineering programmable cell death pathways Key Contributions: Notable achievements include the first synthetic genetic oscillator (Repressilator), foundational work on noise in gene expression, and development of lineage recording tools. His research bridges fundamental science and translational applications, including therapies for genetic disorders like Rett syndrome. Awards & Recognition: HHMI Investigator (2008–present) AAAS Fellow (2015) Presidential Early Career Award for Scientists and Engineers (2005) Labs/Teams: The Elowitz Lab collaborates across disciplines, combining experimental and computational approaches. Key projects include synthetic embryo models, programmable cell death circuits, and MEMOIR-based lineage tracing systems.

Cordell C. DavidsonView profile

Assistant Professor

• Cyber-security
• Robotics
• Artificial Intelligence
• +2 more

Dr. Cordell C. Davidson is an Assistant Professor in the Computer Science Department at the University of South Alabama. He holds a PhD in Computing (2018) from the same institution, with a research focus on applying Moving Target Defensive Techniques to cyber-security of Programmable Logic Controllers. Earlier degrees include an MSCIS (2008, University of South Alabama) and a B.S.B.A. in Accounting (1982, University of Southern Mississippi). His research interests span Cyber-security, Robotics, and Artificial Intelligence. Teaching responsibilities include courses such as CSC 532 Distributed Systems, CSC 440 Secure Software Engineering, and CSC 231 Data Structures in C++. He has been an Instructor at USA since August 2019, following a Post-Doctoral Fellowship there (Feb-Aug 2019). Certifications include Certified Public Accountant (Virginia, 1989), Oracle Master Database Administrator (1997), and active memberships in IEEE, ACM, and Upsilon Pi Epsilon. He serves as an officer in the University of South Alabama Computing Alumni Association.