Find Academic Supervisors

Bletsas AggelosView profile

Professor

• Wireless Transmission
• Wireless Relay Networks
• Software-Defined Radio
• +3 more

Aggelos Bletsas is a Professor at the School of Electrical and Computer Engineering, Technical University of Crete. He holds a PhD from MIT (2005) and has expertise in wireless communication, backscatter networks, and RFID systems. His research focuses on scalable wireless networks, ultra-low-cost sensor technologies, and signal processing. Education: PhD, MIT Media Lab (2005) MSc, MIT Media Lab (2001) Diploma in Electrical & Computer Engineering, Aristotle University of Thessaloniki (1998) Research Interests: His work spans wireless transmission techniques, backscatter sensor networks, and RFID systems. Key areas include: Ultra-low-cost sensor deployment RFID localization and multi-static systems Energy-efficient hardware implementations Probabilistic inference in distributed networks Awards: IEEE Marconi Prize Paper Award (2008) Technical University of Crete Research Excellence Award (2012-2013) Multiple best paper awards at RFID-TA, ISWCS, and SENSORS Academic Contributions: He advises students who have won IEEE best thesis awards and leads projects funded by ERC grants. His laboratory focuses on practical implementations of wireless sensor networks and backscatter systems. Labs & Affiliations: Director of the Telecommunications Laboratory and affiliated with the Telecommunication Systems Institute (TSI).

Changhee JungView profile

Associate Professor

• Compilers
• Computer Architecture
• Performance Optimization
• +8 more

Changhee Jung is the Samuel D. Conte Associate Professor in the Department of Computer Science at Purdue University. His research focuses on compilers and computer architecture with an emphasis on performance, reliability, and security. His educational background includes a Ph.D. from Georgia Tech (2013) under the supervision of Prof. Santosh Pande. Professor Jung's research spans compilers and computer architecture with a focus on performance, reliability, and security. He has developed program analysis and microarchitecture optimization techniques for soft error resilience, concurrency bug detection, and system security such as memory safety and Linux kernel permission check. Currently, he is working on energy-efficient intermittent computation and nonvolatile memory crash consistency. He often leverages compiler-architecture codesign and repurposes existing hardware features to develop cost-effective solutions for complex computing challenges. His recent publications demonstrate a clear trajectory toward intermittent computing systems, nonvolatile memory architectures, and security mechanisms for energy-constrained environments. His work shows innovative approaches to power failure recovery, capacitor vulnerability exploitation, and EMI attack defense in intermittent systems, with significant contributions to whole-system persistence, cache design, and prefetching techniques for low-power computing. His notable scientific achievements include: NSF CAREER Award (2018) Inducted into MICRO Hall of Fame (2021) Best Paper Honorable Mention in ISCA 2025 Memorable Paper Award Finalist in NVMW 2024 Dissertation Advisor of 2023 ACM SIGBED Paul Caspi Memorial Dissertation Award winner Jongouk Choi 2017 AMD Faculty Research Award Professor Jung has successfully advised numerous graduate students, many of whom have secured prominent positions at leading technology companies including Google, Intel, and Samsung Electronics. His lab, the CompArch (Compiler and Architecture) research group, was formed in 2013 at Virginia Tech and continues at Purdue, focusing on compiler-architecture cooperation to address cross-cutting concerns involving performance, reliability, and security. The lab has received significant research funding, including an NSF CAREER Award in 2018 and an AMD Faculty Research Award in 2017.

• Wireless transmission
• Wireless relay networks
• Software-defined radio
• +7 more

Aggelos Bletsas Aggelos Bletsas is a Professor at the School of Electrical and Computer Engineering (ECE) at the Technical University of Crete (TUC). He holds a PhD from MIT and has expertise in wireless communication, backscatter radio, and IoT. His research focuses on ultra-low-cost sensor networks and ambiently-powered systems. Education PhD in Media Arts and Sciences, MIT (2005) MSc in Media Arts and Sciences, MIT (2001) 5-year Diploma in Electrical & Computer Engineering, Aristotle University of Thessaloniki (1998) Research Interests Bletsas' work spans scalable wireless networks, backscatter radio, RFID systems, and energy harvesting. He pioneers batteryless IoT devices and environmental sensing technologies. His lab develops hardware and algorithms for low-cost, long-range communication. Awards & Recognition IEEE Fellow (2023) 2012-2013 TUC Research Excellence Award Multiple Best Paper Awards (ISWCS, RFID-TA, SENSORS) IEEE ComSoc and RFID Council Distinguished Lecturer (2022-2025) Labs & Projects Bletsas leads the Telecommunications Laboratory at TUC, focusing on batteryless sensors, scatter radio, and robotic inventory systems. Key projects include 'Internet of Plants' and ambiently-powered inference networks.

Yidi WangView profile

Assistant Professor

• Real-Time Systems
• Embedded Systems
• Cyber-Physical Systems
• +5 more

Yidi Wang is an Assistant Professor in the Department of Computer Science and Engineering at Santa Clara University (SCU). She holds a Ph.D. in Electrical and Computer Engineering from the University of California, Riverside (2023), and previously worked as a Postdoctoral Scholar at UCR (2023–2024). Her research focuses on real-time, embedded, and cyber-physical systems, particularly addressing challenges in GPU scheduling, energy efficiency, and batteryless device operation. She teaches courses such as Introduction to Embedded Systems and Operating Systems at SCU. Education: Ph.D. in Electrical and Computer Engineering, UC Riverside (2023) M.S. in Electrical and Computer Engineering, UC Riverside (2019) B.S. in Electrical Engineering, Huazhong University of Science and Technology (2018) Research Interests: Real-time scheduling for GPU-accelerated applications, energy-efficient computing, heterogeneous platforms, and reliable systems for intermittently powered devices. Her work spans system-level implementations and theoretical analysis, including novel scheduling algorithms and mathematical models for performance optimization. Awards: None explicitly listed in the provided texts. Advising & Grants: Currently mentoring 3 students (2 MS, 1 undergraduate) and recruiting PhD/MS candidates. She serves on technical committees for RTSS and RTAS conferences and has reviewed for journals like Transactions on Computers and Real-Time Systems. Labs/Teams: Leads research on GPU scheduling and batteryless systems, collaborating with industry and academic partners.

Chen PanView profile

Assistant Professor

• Energy-Harvesting Embedded Systems
• Internet of Things (IoT)
• Low-Power Computing
• +5 more

Chen Pan is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Texas at San Antonio's Klesse College of Engineering and Integrated Design. His research focuses on energy-harvesting embedded systems, low-power computing, and IoT network optimization through machine learning techniques. Ph.D. from University of Pittsburgh Specializes in transient computing for batteryless devices Develops reinforcement learning solutions for UAV-assisted IoT systems Chen's recent publications emphasize energy-aware scheduling, non-volatile memory optimization, and sustainable communication protocols. His work intersects spatiotemporal modeling, fault tolerance, and resource-constrained AI execution across heterogeneous architectures.

Bradley DenbyView profile

Assistant Professor

• Cyber-physical systems
• Computational nanosatellite constellations
• Machine learning for autonomy
• +3 more

Bradley Denby is an Assistant Professor in the Department of Aerospace & Ocean Engineering at Virginia Tech, holding the Marty and Anna Irvine AOE Faculty Fellow position. He specializes in cyber-physical systems, computational nanosatellite constellations, and machine learning for autonomy, with a focus on orbital edge computing. Denby leads the Starbelt Lab, focusing on advanced air mobility and satellite systems research. Education: PhD in Electrical and Computer Engineering, Carnegie Mellon University (20XX) MS in Computer Engineering, Air Force Institute of Technology (AFIT) BS in Physics, Southern Illinois University Research Interests: Denby’s work bridges computer science and aerospace engineering, addressing challenges in computational satellite systems, edge computing in space, and autonomous decision-making. His projects include batteryless satellites (Tartan Artibeus) and high-coverage nanosatellite constellations (EagleEye). He explores orbital edge computing frameworks to enable real-time data processing directly on satellites. Recent Research Trends: His publications emphasize scalable nanosatellite constellations, overcoming computational bottlenecks in space, and integrating machine learning for on-orbit inference. Themes include energy-efficient systems, inter-satellite communication, and mission-critical autonomy. Awards: Marty and Anna Irvine AOE Faculty Fellow (Virginia Tech) Teaching & Labs: Instructs courses on space engineering, satellite design, and advanced air mobility. Runs the Starbelt Lab (website/GitHub linked).

Tania MorimotoView profile

Associate Professor

• Robotics
• Medical Robotics
• Soft Robotics
• +3 more

Tania Morimoto is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of California San Diego. Her research focuses on the design and control of flexible and soft robots for medical and exploration applications, including personalized surgical robots and intuitive human-in-the-loop interfaces. She leads efforts in haptic device development for education, notably creating the Hapkit and H3Kit systems used in STEM labs globally. She holds a B.S. in Mechanical Engineering from MIT, and M.S. and Ph.D. from Stanford University's CHARM Lab. Her work bridges robotics, haptics, and medical engineering, with key innovations in continuum robot design, wireless sensing, and surgical teleoperation systems. Key research areas include soft robotics for minimally invasive surgery, wearable haptic devices, and scalable pneumatic control systems. Her team has developed novel methods for patient-specific robot design using preoperative medical imaging, along with virtual reality interfaces for surgical planning. Notable achievements include the NSF CAREER Award (2022) for work on handheld continuum robots, and contributions to wireless force sensing technologies. Her educational initiatives have expanded access to hands-on robotics learning through low-cost hardware kits adapted for remote instruction.

• Low-Power RF Circuits
• Analog and Mixed-Signal ICs
• Wireless Applications
• +3 more

Saul Rodriguez Duenas is a Professor at the Division of Electronics and Embedded Systems, part of the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology in Stockholm, Sweden. Previously, he held an Associate Professor position at KTH. He obtained his B.Sc. in Electrical Engineering from the Army Polytechnic School (ESPE) in Ecuador, followed by M.Sc. and Ph.D. degrees in System-on-Chip Design and Electronic and Computer Systems from KTH. He also holds a Docent title in Integrated Devices and Circuits from KTH. His research focuses on low-power RF, analog/mixed-signal ICs for wireless applications, biomedical systems, and energy harvesting. He is the founder of ElinTronics AB, a consulting firm specializing in embedded systems and mixed-signal ASICs. Rodriguez teaches multiple courses at KTH, including Analog Electronics, Analog Integrated Circuits, and RF Integrated Circuit Design. His work spans over 90 publications in peer-reviewed journals and conferences, with a strong emphasis on biomedical circuits, energy-efficient systems, and sensor technologies. He has contributed to patents in implantable sensors and health monitoring systems.

• Wireless Networks
• Internet of Things (IoT)
• Network Protocols
• +9 more

Fabrizio Giuliano is a Researcher at the University of Palermo in the School of Mathematics and Computer Science , focusing on Wireless Networks , Internet of Things (IoT) , and Network Protocols . His academic activities include teaching courses like Computer Networks , Internet of Things , and IoT and Cloud Security to students in Informatics, Biomedical Engineering, and Cyber-Physical Systems programs. Research Interests : Giuliano's work spans Wireless communication (LoRaWAN, Sigfox, WiFi, ZigBee) Smart water distribution systems and energy-autonomous IoT Interference detection and cross-technology coexistence 5G network infrastructure Augmented Reality for accessibility Privacy-preserving smart grid systems Publication Trends : His recent articles (2025–2023) focus on AI integration in IoT testbeds Scalable water distribution monitoring Information-theoretic analysis of fNIRS signals Interference mitigation in LPWANs Context-aware 5G architectures Hybrid VLC/WiFi networks Academic Contributions : Giuliano has edited theses on fNIRS signal analysis and IoT-integrated biosensors , reflecting his interest in biomedical applications of wireless systems.

Hyoung Jin ChoView profile

Professor

• Micro-electro-mechanical Systems (MEMS)
• Sensors
• Actuators
• +7 more

Hyoung Jin Cho is a Professor and Interim Chair in the Department of Mechanical and Aerospace Engineering at the University of Central Florida's College of Engineering and Computer Science. He earned his Ph.D. in Electrical Engineering from the University of Cincinnati (2002), with prior degrees in Materials Engineering from Seoul National University (BS 1989, MS 1991). His career spans academic leadership roles, including Associate Chair since 2014, and extensive research in MEMS, microfluidics, and nanotechnology. Ph.D., Electrical Engineering, University of Cincinnati (2002) MS, Materials Engineering, Seoul National University (1991) BS, Materials Engineering, Seoul National University (1989) Cho leads the Miniaturized Multifunctional Devices Lab, focusing on miniaturized actuators, sensors, and microfluidic components. His work integrates MEMS technology with sustainable materials for applications in environmental monitoring, healthcare, and flexible electronics. Current projects include batteryless UV sensors for food packaging and bio-inspired soft actuators for water remediation. His research has been supported by multiple NSF grants (CAREER, MRI, REU, NUE, RET, I/UCRC), NIH STTR, and industry partnerships. He co-directs the NSF Multi-Functional Integrated System Technology Center at UCF and has received the College’s Distinguished Researcher Award (2007). Cho has authored over 100 peer-reviewed papers and mentored educational initiatives like the i-STEM program (2014). NSF CAREER Award (2004-2009) UCF Distinguished Researcher Award (2007) WCU Visiting Professorship (2009-2010) UCF i-STEM Fellow (2014) Cho’s publications demonstrate expertise in MEMS, nanotechnology, and sensor design. Notable works include graphene-based UV sensors, biopolymer-metal composites, and self-sanitizing medical masks. His article on nanoporous bismuth electrodes (2019) highlights innovations in heavy metal detection, while his 2014 review on thermocapillarity remains a foundational reference in microfluidics.

• Human-Computer Interaction
• Ubiquitous Computing
• Computational Materials
• +3 more

Sai Swaminathan is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee. He earned his PhD from Carnegie Mellon University's Human-Computer Interaction Institute, advised by Scott Hudson. His research focuses on computational materials, ubiquitous computing, and cyber-physical systems, emphasizing low-power, embedded technologies in physical infrastructure. He leads the EPIC Lab, exploring interactive systems integrated into structural materials like concrete and carbon fiber. Education: PhD from Carnegie Mellon University (Human-Computer Interaction Institute). Prior to this, he completed a dual master’s degree at Technical University of Berlin and Universite Paris-Sud XI. Professional experience includes roles at Oak Ridge National Lab, Microsoft Research, and Xerox Research. Research Interests: Developing battery-free interactive devices using non-silicon materials (e.g., concrete, carbon fiber), integrating sensing/actuation into architectural structures. Current projects include OptiStructures (optical sensors in building materials), Duco (large-scale circuit writing), and FiberWire (composite electronics). Notable Awards: Best Paper Honorable Mention at CSCW 2019 for 'Learn2Earn: Using Mobile Airtime Incentives to Bolster Public Awareness Campaigns'. Labs/Teams: Director of the Energy, Printed Infrastructure and Interactive Computing (EPIC) Lab, collaborating with interdisciplinary teams in HCI, ECE, CEE, and Materials Science.

• Power Management Systems
• Wearable Electronics
• Implantable Electronics
• +4 more

Kaung Oo Htet is a Lecturer in Electronic and Electrical Engineering at the University of Hertfordshire's Department of Engineering and Technology within the School of Physics, Engineering & Computer Science. He holds a PhD and focuses on ultra-efficient power management systems for low-power wearable and implantable electronics. His research emphasizes inductor-less switched-capacitor DC-DC converters, energy harvesting interfaces, and self-powered systems. His work aims to create compact, battery-free devices through innovative circuit architectures. Key research areas include SIMO converters, wearable/implantable electronics, and energy-efficient start-up circuits. He has contributed to Springer publications and actively develops cutting-edge solutions in integrated power electronics. Dr. Htet’s research spans multi-output power converters, biomedical energy harvesting, and precision power management systems. His recent work (2025) explores next-generation SIMO converters for biomedical devices. He accepts PhD students for 2025 admissions and maintains an ORCID profile (0000-0002-8958-5310). No scientific awards are explicitly listed. His advising record and grants are not detailed here, but his publications indicate sustained research activity in power electronics for medical and wearable applications.

Habiba FarrukhView profile

Assistant Professor

• Security & Privacy
• Mobile Computing
• Internet of Things Security
• +3 more

Habiba Farrukh is an Assistant Professor in the Department of Computer Science at the University of California, Irvine , where she directs the Security and Privacy of Emerging Computing Technology (SPECT) Lab . Her research focuses on security & privacy and mobile computing , using system design, machine learning, and human-centered approaches to address threats in emerging computing platforms. Ph.D. in Computer Science from Purdue University (advisor: Dr. Z. Berkay Celik) Research Trends : Her recent work spans XR security (UI attacks, eye gaze privacy), mobile/IoT security (magnetometer side-channels, secure group pairing), online abuse (toxic content against refugees), and wearable privacy . Publications appear at top venues like USENIX Security , IEEE S&P , and ACM CCS . Scientific Awards : Best Poster Runner-Up Award at MobiSys 2025 Outstanding Reviewer Award at VehicleSec 2024 Bilsland Dissertation Fellowship 2021-2022 Teaching : CS190: Introduction to Security & Privacy (Spring 2025) CS204: Usable Security and Privacy (Fall 204) CS295: Security and Privacy of Emerging Computing Platforms (Spring 2024)

• Embedded Systems
• Internet of Things
• Cyber-Physical Systems
• +17 more

Kasim Sinan Yildirim is an Associate Professor in the Department of Information Engineering and Computer Science at the University of Trento, where he conducts research at the intersection of embedded systems, Internet of Things (IoT), and wireless communication technologies. His work focuses on developing innovative hardware and software solutions for resource-constrained and energy-limited environments. His research interests include: Hardware and software design for batteryless and intermittently powered embedded systems Energy harvesting and transient computing Wireless sensor networks and self-organizing networks Backscatter and visible light communication Edge learning and inference Distributed algorithms and real-time computing The absence of published articles in the provided text prevents analysis of publication trends. However, his research direction emphasizes sustainable, low-power computing paradigms essential for next-generation IoT deployments. There are no listed scientific awards in the provided information. Dr. Yildirim advises students and contributes to academic training, though specific advisees are not listed. There is no mention of external grants or funded projects in the provided text. He is involved in research related to advanced embedded and cyber-physical systems, particularly focusing on novel computing models for batteryless devices and sustainable IoT infrastructures.

Arjen JansenView profile

Lecturer

• Sports Engineering
• Drug Delivery Systems
• Sustainable Design
• +3 more

Dr. Arjen Jansen is a Lecturer in Industrial Design Engineering at Delft University of Technology, affiliated with the Emerging Materials and Sustainable Design Engineering programs. His research spans sports engineering, biomedical applications (e.g., 3D drug printing), and human-powered energy systems. Notable projects include developing vibro-tactile feedback systems for skating and protective wetsuits for Olympic sailors. He teaches courses like the Design Engineering Contest and leads the Erasmus+ project A4SEE to enhance sports engineering education across Europe. Jansen's work bridges innovation theory with practical applications, emphasizing sustainability and human-centric design. Education: Doctor of Industrial Design Engineering (Dr.ir.) Research Interests: Sports technology, biomedical engineering, sustainable materials, and educational methodologies in design. His work often integrates ergonomics, environmental science, and digital tools to create impactful solutions. Grants & Collaborations: Led international projects like A4SEE (2022) and contributed to EU-funded initiatives. His research has been published in journals like Journal of Pharmaceutical Innovation and presented at conferences such as the Engineering of Sport series. Labs/Teams: Emerging Materials Program, Sports Engineering Lab.