جست‌وجوی استاد و پژوهشگر

Mohammad Habibiمشاهده پروفایل

استادیار

• Cyber-Physical Systems
• Intelligent Manufacturing
• Mechatronics
• +۳ مورد دیگر

Mohammad Habibi serves as an Assistant Professor in the Department of Mechanical and Manufacturing Engineering at Tennessee State University's College of Engineering. His office is located in IND 103, with contact available via phone (615-963-5248) or email (mhabibi@tnstate.edu). Dr. Habibi's academic credentials include: Ph.D. in CISE (Robotics & Computer Integrated Manufacturing), Tennessee State University, 2014 M.S. in CISE (Systems Engineering), Tennessee State University, 2003 B.S. in Electrical Engineering, Z. H. College of Engineering and Technology, Aligarh Muslim University, India, 1989 His research program centers on three interconnected domains: Cyber-Physical Systems implementation in infrastructure, intelligent manufacturing processes integrating mechatronics, and advanced materials engineering to combat thermal degradation. This work manifests in practical applications spanning surveillance analytics, robotics, and sustainable manufacturing systems, with publications demonstrating consistent interdisciplinary contributions across engineering and computer science. Publication trends reveal an evolution from foundational visual analytics research (2011-2014) focused on surveillance data exploitation to recent theoretical advances in stochastic control (2019) and educational innovation (2018). His 11 documented publications span power systems engineering, robotics, and data science, reflecting a career-long commitment to solving complex engineering problems through computational methods. No scientific awards are documented in the provided materials. Dr. Habibi actively mentors students through capstone projects involving AI-driven manufacturing monitoring, digital twin development, and UAV applications. His teaching portfolio covers core mechanical engineering subjects including mechatronics, manufacturing processes, and materials engineering, with courses designed to bridge theoretical concepts and industrial applications using platforms like LEGO-EV3 and Proteus simulation. Though no formal lab structure is documented, his research manifests through student-led projects in cyber-physical systems and intelligent manufacturing, utilizing robotics platforms, microcontroller systems, and simulation environments to address real-world challenges in infrastructure monitoring and industrial automation.

• Electrical Engineering
• Power Systems
• Renewable Energy Integration
• +۳ مورد دیگر

Federico Cecati serves as an Assistant Professor in the Department of Industrial Engineering at the University of Trento, Italy, actively contributing to electrical engineering education and renewable energy research. His institutional affiliation includes teaching responsibilities across undergraduate and graduate programs within the university's engineering framework. His current teaching portfolio comprises: Electrical Circuits and Machines (Bachelor of Industrial Engineering) Renewable Energy Integration in Smart Grids (Master of Mechatronics Engineering) Research interests center on electrical power systems with specialized focus on grid stability mechanisms, power electronics converters for renewable sources, battery storage integration, and advanced control strategies for modernized electricity networks. His practical work involves Matlab/Simulink modeling of smart grid dynamics and converter-grid interactions. Professional activities emphasize applying engineering principles to contemporary energy transition challenges, particularly addressing blackout prevention and cooperative operation of distributed energy resources within digitalized grid infrastructures.

Dannis Brouwerمشاهده پروفایل

استاد

• Precision Engineering
• Flexure Mechanisms
• Mechatronic Systems
• +۶ مورد دیگر

Prof. Dr. Ir. Dannis Brouwer is a professor at the Faculty of Engineering Technology, University of Twente, leading the Precision Engineering group. His work focuses on flexure mechanisms with applications in ultra-precision machinery, robotics, orthoses, and flexible implants. He lectures Design Principles for Precision Mechanisms in Mechanical Engineering programs and has pioneered advancements in large-motion flexure joints. Education: MSc in Mechanical Engineering and Mechatronic Design (Eindhoven University of Technology, 1998-2001); PhD (University of Twente, 2007) Past Roles: Mechatronics System Designer at Philips (2001-2004); Senior Applied Research Engineer at Demcon (2007-2009) Brouwer’s research addresses the limitations of traditional bearings by optimizing flexure joints for high load capacity, large motion, and stiffness. His group developed topology synthesis methods and leverages additive manufacturing to enable geometric complexity at low cost. Applications span space mechanisms, cryogenic systems, and medical devices. His 15 most recent publications focus on flexure modeling, optimization, and applications in robotics and precision engineering. Key subfields include torsion reinforcement, underactuated grippers, and superelement formulations. Scientific Leadership: Associate Editor of Precision Engineering; Director-at-Large, American Society for Precision Engineering (2015-2017) Grants: 14 projects (total 5.5M€), supervising 11 PhD students, 7 PostDocs, and 2 EngD candidates Brouwer integrates education with industry through intensive Master’s courses and lectures at industrial academies. His work bridges theoretical advancements with practical implementations in mechatronic systems.

• Robotics
• Mechatronics
• Pipeline Inspection
• +۳ مورد دیگر

Professor Piotr Małka is affiliated with the Krakow University of Technology as a faculty member in the Department of Infotronics and Cybersecurity under the Faculty of Electrical and Computer Engineering . His work focuses on robotics, mechatronics, and infrastructure monitoring. Academic Rank: Professor Contact: piotr.malka@pk.edu.pl Research interests span mobile robot design for pipeline inspection , SLAM techniques in rough terrain, and intelligent infrastructure systems. His publications demonstrate expertise in: Robot kinematics and dynamics Control systems for tracked robots Structural health monitoring Smart water supply infrastructure Virtual prototyping of inspection systems Recent work shows increasing focus on autonomous navigation and cyber-physical systems integration for industrial applications.

• Innovation Management
• SME Competitiveness
• EU 2020 Policies
• +۶ مورد دیگر

Dr. Desislava Ivanova Petrova serves as an Associate Professor in the Department of Management within the Faculty of Economics at Technical University - Gabrovo. With a Doctorate in Technical Sciences, she has led 25 research projects, authored 9 books, and published 103 scholarly works focusing on innovation management, SME competitiveness, and EU policy frameworks. Her research interests span innovation management, SME competitiveness strategies, EU 2020 policies, investment project analysis, branding strategies, and mechatronics applications. She has developed methodologies for assessing manufacturability, measuring market risks, and implementing digital single market frameworks, with particular emphasis on regional development in Bulgaria's Central Northern Region. Analysis of her 15 most recent publications reveals consistent focus on bridging theoretical innovation frameworks with practical business applications. Her work demonstrates increasing integration of EU policy requirements with local business practices, particularly in risk assessment methodologies and competitiveness enhancement strategies for small and medium enterprises across multiple industrial sectors. Through her leadership in 25 research projects from 2009-2016, she has supervised numerous doctoral candidates and master's students while establishing international collaborations with institutions in Ukraine, Lithuania, Latvia, and Germany. Her work has been integrated into 8 bachelor's and master's level courses covering investment projects, innovation management, and competitiveness analysis. Professor Petrova has established significant industry-academia connections through technology parks, industrial zones, and educational-business partnerships. Her research team has developed practical tools including photovoltaic fountain systems, transistor testers, and distributed data archiving solutions that have been implemented in both educational and industrial settings.

Suruz Miahمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Mobile Robotics
• Control Systems
• +۵ مورد دیگر

Dr. Suruz Miah is an Associate Professor in the Department of Electrical and Computer Engineering at Bradley University's Caterpillar College of Engineering & Technology, with a joint appointment as Adjunct Professor at the University of Ottawa. He holds a Ph.D. in Electrical and Computer Engineering from the University of Ottawa and a B.Sc. in Computer Science and Engineering from Khulna University of Engineering & Technology. His research focuses on cyber-physical systems with specialization in: Mobile robot navigation and control systems Multi-agent systems and distributed control Reinforcement learning applications in robotics Autonomous vehicle technologies Biomedical sensor systems RFID and sensor network applications He leads the Cyber-Physical Systems Laboratory at Bradley and collaborates with the Machine Intelligence, Robotics, and Mechatronics Laboratory at Ottawa. Dr. Miah's recent publication trends show strong focus on: Reinforcement learning for robotic control (6 of 15 recent papers) Multi-agent coordination systems (4 papers) Biomedical sensor applications (3 papers) Aerial and ground robotics (5 papers) Autonomous vehicle technologies (3 papers) He has developed several courses including Autonomous Robotics and Introduction to Mechatronics and teaches both undergraduate and graduate courses in control systems, robotics, and embedded systems. Professional service includes: Senior Member of IEEE Associate Editor for IEEE Transactions on Industrial Informatics Reviewer for 10+ IEEE journals and conferences

Christian Lehmannمشاهده پروفایل

استاد

• Industrial Robotics
• Production Automation
• Manufacturing Technology
• +۳ مورد دیگر

Professor Christian Lehmann is a faculty member at HTW Berlin in Department 2: Engineering Sciences - Technology and Life, where he serves as Professor and Laboratory Manager for the Robotics Laboratory. He teaches across multiple programs including Mechanical Engineering (Bachelor's), Computer Science in Engineering (Master's), and Industrial Engineering (Bachelor's). His research focuses on industrial robotics, production automation, and manufacturing technology, with particular emphasis on human-robot collaboration, compliant robotics, and practical implementations in manufacturing environments. Professor Lehmann leads the Robotics Laboratory at Wilhelminenhof Campus, which houses advanced robotic systems including KUKA and Fanuc robots, drone systems, and sophisticated testing equipment for human-robot interaction. Analysis of his publication record shows consistent contributions to industrial robotics, particularly in fault-tolerant programming, compliant robot applications, and manufacturing integration. His work bridges theoretical robotics with practical industrial implementation, with numerous publications appearing in IEEE journals and conference proceedings from 2013-2019. Active supervision of student research projects and theses Management of the Robotics Laboratory with state-of-the-art equipment Multiple ongoing research collaborations with industry partners Development of practical robotics solutions for manufacturing challenges Professor Lehmann's teaching portfolio includes Fundamentals of Robotics, Production Automation, Mechatronics, and Manufacturing Technology courses across multiple engineering programs. His laboratory-based approach provides students with hands-on experience in industrial robotics systems and practical problem-solving in manufacturing environments.

• Embedded Systems
• Internet of Things
• Machine Learning
• +۴ مورد دیگر

Dr. Mairo Leier is a Senior Research Fellow at Tallinn University of Technology's School of Information Technologies, Department of Computer Systems, where he leads the Internet of Things Development Centre. His career spans industry roles at Ericsson Estonia and Elisa Estonia, alongside academic positions since 2010. He holds a PhD in Computer Systems (2016) and MSc (2010) from Tallinn Tech. Research interests center on embedded systems , IoT , and edge AI , with applications in smart infrastructure, autonomous vehicles, and biomedical sensing. Key focus areas include: Machine learning optimization for resource-constrained devices Real-time sensor data processing Hardware-software co-design Industrial IoT solutions His publications emphasize embedded AI efficiency, with recent work exploring model compression, hardware-aware neural networks, and edge deployment for computer vision. Awards and recognitions include: Tallinn Entrepreneurship Award (2017, 2018) 1st Prize in TTÜ Applied Research Competition (2017) Industry collaboration awards with Bosch Sensortec He actively advises students, with 14+ bachelor supervisees in embedded systems/IoT projects. Grants include applied research funding for industrial sensor algorithms and smart wearables. He directs the IoT Development Centre, fostering industry-academia partnerships and embedded systems innovation.

Wiesław Kordalskiمشاهده پروفایل

دانشیار

• Semiconductor Device Modeling
• MOS Transistor Modeling
• Magnetic Field Sensors
• +۶ مورد دیگر

Dr. hab. inż. Wiesław Kordalski is an Associate Professor at the Department of Microelectronic Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His academic career spans several decades, with documented teaching activities from at least 2002 through the 2024/2025 academic year. He maintains two institutional email addresses: wiekorda@pg.edu.pl and kord@eti.pg.edu.pl. His research interests focus on semiconductor device modeling, particularly MOS transistors, with emphasis on quasi-2D small-signal models, magnetic field sensors (MAGFETs), and parameter extraction methods. He has developed specialized expertise in non-quasi-static modeling of transistors for radio and microwave frequencies, with models verified up to 30 GHz. His work bridges theoretical modeling and practical implementation, addressing both fundamental semiconductor physics and engineering applications. Analysis of his publications reveals a consistent research trajectory centered on MOSFET modeling techniques, with particular focus on quasi-2D representations and non-quasi-static behavior. His work demonstrates progression from basic transistor modeling to more specialized applications like magnetic field sensors. The research shows strong methodological consistency, with recurring themes of physics-based modeling, experimental verification, and practical implementation considerations. Professor Kordalski teaches across multiple departments, primarily offering courses in Electronics, Electronic Circuits, and Electrical Engineering. His teaching portfolio includes courses for Mechanical Engineering, Mechatronics, and Medical and Mechanical Engineering programs, demonstrating interdisciplinary engagement. He has consistently taught these subjects since at least 2012, indicating substantial teaching experience and institutional commitment.

Vicente Alarcon-Aquinoمشاهده پروفایل

استاد

• Cybersecurity
• Network Monitoring
• Anomaly Detection
• +۷ مورد دیگر

Dr. Vicente Alarcon-Aquino is a Professor in the Department of Computing, Electronics, and Mechatronics at Universidad de las Americas Puebla (UDLAP), Mexico. He received his Ph.D. and D.I.C. degrees in Electrical and Electronic Engineering from Imperial College London in 2003. He previously served as department head from October 2012 to June 2018 and spent a research stay at King's College London in 2017. Dr. Alarcon-Aquino is a Senior Member of IEEE, a Level I member of the Mexican National System of Researchers (SNI), and a Fellow of the Mexican Academy of Sciences. His educational background includes: Ph.D. and D.I.C. in Electrical and Electronic Engineering, Imperial College London, UK (2003) Dr. Alarcon-Aquino's research focuses on cybersecurity, network monitoring, anomaly detection, wavelet analysis, and machine learning. His work spans theoretical foundations to practical applications in network security, with significant contributions to intrusion detection systems, cryptographic techniques, and machine learning approaches for security applications. He has developed innovative methods combining wavelet transforms with neural networks for various security and signal processing applications. His scholarly contributions include over 180 research articles in refereed journals and conference proceedings, a book on MPLS networks, and numerous citations. As an editor, he serves as Associate Editor for IEEE Access Journal and as Academic & Section Editor for PeerJ Computer Science, focusing on Security & Privacy. Notable professional recognitions include: Senior Member of IEEE Mexican National System of Researchers (SNI Level I) Member of the Mexican Academy of Sciences Dr. Alarcon-Aquino has supervised over 70 theses, including 8 Ph.D. dissertations, 15 Master's theses, and more than 37 Bachelor's theses. His supervision spans topics including network intrusion detection, information security, encryption algorithms, wavelet-based signal processing, neural networks, EEG signal processing, and biometric cryptosystems. He has hosted international research students from institutions including the Polytechnic University of Madrid and Kiel University of Applied Sciences. His research group at UDLAP focuses on developing advanced security solutions for modern network environments, with particular emphasis on applying machine learning techniques to cybersecurity challenges. Current projects include blockchain-based security solutions, federated learning approaches for intrusion detection, and advanced anomaly detection systems for IoT environments.

• Biomechanics
• Unmanned Systems
• Medical Rehabilitation
• +۵ مورد دیگر

Dr. Christine Walck is an Assistant Professor in the Department of Mechanical Engineering at Embry-Riddle Aeronautical University's College of Engineering. She joined ERAU in 2019 after serving as a Mechanical Engineer at the U.S. Naval Research Laboratory (2011-2018), where she specialized in unmanned systems and decoy technologies. As the primary investigator of the Embry-Riddle Biomechanical Analyses Laboratory (ERBAL), she conducts interdisciplinary research spanning biomechanics, human performance optimization, and medical rehabilitation. Her research integrates mechanical engineering with neuroscience and computer science to: Analyze muscle function and human movement patterns Develop enhanced rehabilitation protocols Design assistive medical devices and orthotics Create aerospace countermeasures for microgravity effects Engineer robotic systems for research and education Dr. Walck's recent publications demonstrate strong focus areas in knee biomechanics (including ACL rehabilitation and orthotic design), ligament modeling techniques, assistive sports technologies, and educational robotics. Her work frequently appears in biomechanics and orthopedic journals, with recent studies exploring patient-specific modeling approaches and cross-disciplinary applications between aerospace and biomedical engineering. She has received multiple recognitions including: Best Poster Award (Fall & Spring 2023-2024) Most Outstanding Teaching Award Nominee (Spring 2024) Mechanical Engineering Outstanding Service Award (2023) Dr. Walck actively teaches core mechanical engineering courses including Dynamics and Fundamentals of Biomechanics, while supervising graduate theses. She maintains professional engagements through peer review activities, committee memberships for the College of Arts and Sciences, and mentorship roles in student organizations like the EagleNauts Club.

• Data management and data science
• Electronics, sensors and digital hardware
• Control engineering, mechatronics and robotics
• +۴ مورد دیگر

Dr. Scott Adams serves as a Senior Lecturer at Deakin University within the Faculty of Science Engineering and Built Environment, School of Engineering, and is affiliated with the Centre for Sustainable Bio-Products. His research spans multiple engineering disciplines with a strong emphasis on sustainable technologies, artificial intelligence applications, and biomedical device development. Dr. Adams earned his Doctor of Philosophy and dual Bachelor degrees (Engineering with Honours and Information Technology with Distinction) from Deakin University. His academic journey progressed from Postdoctoral Research Fellow (2019-2022) to his current Senior Lecturer position. His research interests focus on data management and data science, electronics and sensor technology, control engineering, mechatronics, robotics, and biomedical engineering . His work demonstrates particular expertise in sustainable waste management systems, AI-driven monitoring solutions, and neural interface technologies. Dr. Adams has developed innovative approaches to tyre recycling, solar panel inspection, greenhouse monitoring, and neural microprobes with adaptive stiffness. An analysis of his recent publications reveals a strong trend toward sustainable engineering solutions with applications in waste recycling (particularly end-of-life tyres and solar panels), AI-enhanced monitoring systems for environmental and agricultural applications, and advanced biomedical devices featuring novel materials and control systems. His interdisciplinary approach bridges mechanical engineering, computer science, and environmental science. Dr. Adams actively supervises numerous doctoral students across diverse engineering projects and has secured substantial research funding through multiple industry collaborations. His grants portfolio includes significant projects such as the Commercialisation of an Automated Mobile EOL Solar PV Panel Recovery Plant ($345,925), End of Life Tyres to Green Hydrogen ($23,745,206), and various contracts with rail companies, energy firms, and agricultural technology developers. His teaching responsibilities include units such as SEE216 - Analogue and Digital Electronics, SEJ102 - Electrical Systems Engineering Project, and SEE711 - Sensor Networks. Dr. Adams has developed several innovative devices including the SmartStim AI-enabled deep brain stimulation device, AgriGlow IoT multi-spectral light sensing system, and automated soil gas monitoring technology, demonstrating his commitment to translating research into practical applications.