Find Academic Supervisors

Richard Stevens is a Professor in the Department of Engineering & Physics at Whitworth University, where he has served since 1995. He holds a Ph.D. from Rice University and a B.S. from California State University, Fullerton. His expertise spans Physics and Chemistry with a focus on ion thruster technology, laser applications, and materials analysis. Stevens has led significant research initiatives including a $109,000 Murdock Trust grant for faculty research (2005), a NASA-funded project on carbon grid erosion in ion thrusters (2001), and the implementation of a web-accessible observatory telescope (2003). His research interests include experimental physics, optical diagnostics, and innovative laboratory techniques. Stevens has developed curricula integrating robotics and 3D printing into electronics education while emphasizing hands-on learning. He has authored over 20 peer-reviewed publications focusing on topics ranging from ion thruster erosion diagnostics to neutron activation analysis. Key Achievements: NSF grant (2001), NASA grant (2001), Murdock Trust grant (2005) Lab Projects: Observatory dome installation, argon-fluoride laser acquisition, carbon grid erosion studies Teaching: Courses in nuclear physics, quantum mechanics, electronics, and physics laboratory design Stevens has pioneered remote learning tools using 3D-printed equipment and contributed to interdisciplinary research at the intersection of physics and biomedical engineering.

• Physics
• Chemistry
• Nuclear Physics
• +3 more

Alberto L. Sangiovanni-Vincentelli holds the Edgar L. and Harold H. Buttner Chair of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is a pioneer in Electronic Design Automation (EDA) and co-founder of Cadence and Synopsys. His research focuses on Cyber-Physical Systems (CPS), embedded systems, hybrid systems, and formal methods for AI. He has authored over 800 papers and 17 books, with major contributions to design automation and methodologies. Education: Dr. Ing., EECS, Politecnico di Milano (1971) Research interests include design methodologies, CPS, and AI integration. He has received numerous awards, including the IEEE James Clerk Maxwell Medal (2008) and ACM/IEEE A. Richard Newton Technical Impact Award (2009). He serves on multiple corporate boards and advisory councils, including the Strategic Committee of the Italian Strategic Fund and the Executive Committee of the Italian Institute of Technology. His work spans academia, industry, and policy, with a focus on innovation ecosystems and CPS design automation. Awards: Over 20 major honors, including Fellowships from IEEE and ACM.

• Cyber-Physical Systems
• Design Automation
• Embedded Systems
• +7 more

Peyman Mirtaheri is a Professor at the Department of Mechanical, Electronics and Chemistry (MEK) under the Faculty of Technology, Art and Design at Oslo Metropolitan University (OsloMet). He also holds an Adjunct Professor position at the Faculty of Biomedical Engineering at Michigan Technological University, USA. His primary role involves teaching courses such as Medical Sensors and Actuators (ACIT4720) and the upcoming BioInspired Systems (fall 2025). Research Interests: Professor Mirtaheri leads the ADEPT lab (ADvanced hEalth intelligence and brain-insPired Technologies) and ADEPT_technology, focusing on: Developing measurement techniques for brain activity detection and analysis Applying fNIRS (functional near-infrared spectroscopy) and EEG (electroencephalography) to study movement, balance, and cerebral cortex activity Advancing bio-inspired systems and health technology Key Projects: His active research includes Use of 3D printers in future rehabilitation (knowledge-based and patient-centered solutions) and completed work on Brain activity during walking and balance . Labs & Collaborations: He integrates his optical/NIRS laboratory into OsloMet's ADEPT lab, collaborating with institutions like Michigan Technological University and contributing to global conferences such as the IEEE International Symposium on Circuits and Systems and the ISPO World Congress .

• Medical Technology
• Biomedical Engineering
• Optics
• +5 more

Caiwen Ding is an Assistant Professor at the School of Computing , University of Connecticut. His research focuses on algorithm-system co-design of machine learning/artificial intelligence , computer architecture , privacy-preserving machine learning , and neuromorphic computing . He actively explores computer vision , natural language processing , and machine learning applications in electronic design automation (EDA) . Education: Ph.D., Northeastern University (Boston), 2019 Research Trends: His work bridges machine learning with hardware optimization (FPGAs/GPUs) and addresses cross-disciplinary challenges in secure computation and AI-driven EDA tools. Collaborative efforts span computer architecture , heterogeneous computing , and cognitive modeling for neural systems. Scientific Awards & Honors NSF CAREER Award Amazon Research Award CISCO Research Award Best Paper Award at AAAI DCAA 2023 Outstanding student paper award at HPEC 2023 Best Paper Award Nomination at DATE 2018 and DATE 2021 Publicity paper at DAC 2022 Stanford’s World’s Top 2% Scientists (2023) UConn Research Excellence Awards (2021, 2023) UConn Provost’s Excellent in Teaching Award (2021) Contact: caiwen.ding@uconn.edu | Phone: (860) 486-0006

• Algorithm-system co-design of machine learning/artificial intelligence
• Computer architecture and heterogeneous computing
• Privacy-preserving machine learning
• +4 more

Dr. Nisa Salim is a Senior Lecturer at the School of Engineering, Swinburne University of Technology , where she conducts pioneering research in multifunctional composite materials, smart coatings, and sustainable energy technologies. Her work is aligned with national and global priorities in space technology, clean energy, and circular economy. Institution: Swinburne University of Technology School: School of Engineering Academic Rank: Senior Lecturer Email: nsalim@swin.edu.au ORCID: 0000-0001-8069-8039 Dr. Salim’s research focuses on developing smart, engineered materials that can sense, actuate, and store energy. Her key areas include graphene-based composites, structural health monitoring, hydrogen storage, and digitalization of composite manufacturing. She leverages advanced nanomaterials to create next-generation composites for aerospace, marine, robotics, and energy applications. The recent publications highlight a strong trend in multifunctional materials, particularly in energy storage (supercapacitors, hydrogen), smart sensing (graphene sensors, digital twins), and sustainable composites (biomass-derived carbon, recycled polymers). Her work integrates machine learning, IoT, and Industry 4.0 principles into material design and manufacturing processes. Scientific Awards and Recognition Alexander von Humboldt Fellowship Philip Law Award, Royal Society of Victoria Theo Murphy Award, Australian Academy of Science Alfred Deakin Post-Doctoral Fellowship Victoria Fellowship Endeavour Research Fellowship AINSE Gold Medal for PhD Excellence University Ambassador, Royal Australian Chemical Institute Dr. Salim actively supervises PhD and master’s students in cutting-edge projects related to hydrogen storage, lunar dust mitigation, structural batteries, and smart coatings. She has secured multiple competitive grants from ARC, CSIRO, and industry partners, including projects on Scalable Graphene Enabled Smart Composites and Passive Lunar Dust Mitigation . Her editorial roles include serving on the boards of Chemical Engineering Journal , Polymers , and Journal of Composites Science . She leads research in advanced labs focused on composite manufacturing, nanomaterial synthesis, and smart sensor integration, often in collaboration with CSIRO, University of Melbourne, and international institutions. Her vision is to develop living materials that enable digitalization and IoT integration in engineering systems.

• Multifunctional Materials
• Multifunctional Composites
• Graphene-based Composites
• +12 more

Professor Chike F. Oduoza is a distinguished academic in Process and Manufacturing Engineering at the University of Wolverhampton, Faculty of Science and Engineering, Department of Chemical Engineering. He holds the rank of Professor and serves as the academic lead for chemical engineering, with extensive leadership in research, teaching, and professional service. His educational background includes a PhD in Instrumentation and Control from UMIST (University of Manchester), an MBA from the University of Exeter, and multiple postgraduate qualifications in management, teaching, and chemical engineering. He is a Chartered Engineer, Fellow of the Institution of Chemical Engineers, and Senior Fellow of the Higher Education Academy. His research interests span chemical and manufacturing engineering, with a focus on electroplating, corrosion protection, reactor design, sustainability, life cycle engineering, oil and gas processing, and risk management in industrial and construction sectors. He has developed innovative models for SMEs, particularly in risk assessment and lean-excellence business management. The recent publications reflect a strong trend in sustainable energy systems, risk and safety management, digital transformation in manufacturing and oil & gas, and advanced materials. His work integrates computational modelling, experimental validation, and practical application across industries. Chartered Engineer (CEng), 1996 Fellow, Institution of Chemical Engineers, 2006 Senior Fellow, Higher Education Academy, 2020 Winner, West Midlands Construction Excellence Award (Innovation, 2017) Professor Oduoza has supervised over 30 PhD students and secured significant research funding from EPSRC, EU (FP7, Horizon 2020), and industry. He is currently leading the FLAREMANAGER and PROCEDURE consortia, focusing on flare gas utilization and future process design. His editorial roles include guest editor for Robotics and Computer Integrated Manufacturing and International Journal of Advanced Manufacturing Technology . He has chaired major conferences such as FAIM 2015 and the Electrochemistry and Sustainability Conference (2010). He leads the RiMaCon project, a €1M EU FP7 initiative that developed a risk management software system for SMEs in construction, which won a regional innovation award. His professional memberships include the Engineering Professors Council, SCI Electrochemical and Energy Groups, and the UK Royal Academy of Engineering Ethics Committee.

• Process and Manufacturing Engineering
• Chemical Engineering
• Electroplating and Corrosion Protection
• +7 more

Vittorio Curri is a Full Professor in Optical Communications and Networking at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino , Italy. He is a founding member of the OptCom Group and PhotonLab and leads the PLANET research team. His work spans optical network modeling, AI-assisted control, open-source software (GNPy), and environmental sensing via optical fiber. He has led numerous EU and industry-funded projects and is a key figure in open optical networking. Research Interests: Multi-band optical transmission in single-mode fibers Physical layer aware networking Machine learning and AI for optical network optimization Environmental sensing using optical network telemetry Open and disaggregated optical networks Digital twin development (GNPy project) WDM and coherent transmission modeling The recent publications reflect a strong trend toward integrating AI and machine learning with digital twin technologies for real-time network control, anomaly detection, and performance optimization. There is a clear focus on wideband, multi-band, and converged metro-access networks , with modeling efforts extending to filtering effects, polarization, and nonlinear impairments. The research is highly applied, with strong industry collaboration and open-source contributions. Scientific Awards: Concorso "Galileo Feraris" (2002) JLT Best Paper Award (2014, 2015) FFABR 2017 Research Grant Advising and Grants: Prof. Curri has supervised 25 PhD students and numerous postdocs. He has served as Principal Investigator on major projects including WON (EU H2020) , ALLEGRO , NESTOR , RESTART , SENSEI , and SCIPIO . He leads the GNPy open-source project under TIP and has extensive collaborations with Synopsys, Open Fiber, INFINERA, and CESNET. His research is funded by EU programs (Horizon Europe, H2020), PNRR, and multiple industrial contracts. Labs and Teams: He leads the PLANET (Physical Layer Aware NETworking) team, a subgroup of the OptCom Group at PoliTo. The team focuses on simulation, modeling, and AI-driven control of next-generation optical networks. They collaborate closely with the LINKS Foundation and international partners including Soochow University and CESNET .

• Optical Communications
• Optical Networks
• Multi-band Optical Networks
• +12 more

John S. Hutchinson is a Professor of Chemistry and Associate Chair for Undergraduate Studies at Rice University. His academic career spans over 40 years, including roles as Dean of Undergraduates (2010-2018), Associate Vice President for Student Affairs, and residential college faculty master. He earned his B.S. and Ph.D. from the University of Texas, where his doctoral work was recognized as Outstanding Dissertation in 1981. Hutchinson specializes in theoretical chemical physics, focusing on vibrational dynamics of reactive molecules, and chemical education research emphasizing active learning and constructivist approaches. His textbook Concept Development Studies in Chemistry is a cornerstone of interactive teaching methods. His research has been supported by NSF, Welch Foundation, and other organizations. He has advised 8 doctoral and 3 master’s students. Hutchinson has pioneered innovations in general chemistry instruction, including online resources and teacher training programs. He has received prestigious accolades including multiple George R. Brown Awards for Teaching Excellence, the Piper Professor recognition, and the George R. Brown Certificate of Highest Merit. Beyond academia, he is a folk guitarist and avid hiker in Colorado. Key contributions include advancing active learning methodologies, developing inquiry-based laboratory systems, and creating scalable teacher professional development programs using distance learning. His work bridges theoretical chemistry with practical educational advancements, impacting both undergraduate STEM education and science teacher preparation nationwide.

• Theoretical Chemical Physics
• Computational Vibrational Dynamics
• Chemical Education Research
• +3 more

Anantha P. Chandrakasan is MIT's Provost and Vannevar Bush Professor of Electrical Engineering and Computer Science. He leads strategic initiatives such as the MIT Climate and Sustainability Consortium, MIT AI Hardware Program, and MIT-IBM Watson AI Lab. As Chief Innovation and Strategy Officer, he oversees MIT HEALS, MGAIC, and MITHIC. Previously, he served as MIT School of Engineering Dean (2011-2025) and director of MIT Microsystems Technology Laboratories (2006-2011). He earned all degrees (B.S., M.S., Ph.D.) in EECS from UC Berkeley (1989-1994). His research focuses on energy-efficient circuits, low-power wireless sensors, and emerging technologies. Key projects include implantable medical devices, secure AI hardware, and THz communication systems. He pioneered the Schwarzman College of Computing, reshaping MIT’s academic structure. Recipient of the 2022 IEEE Mildred Dresselhaus Medal, he holds leadership roles in multiple MIT-industry partnerships. Notable collaborations include Ericsson (5G networks), Takeda (healthcare), and Accenture (industry-technology convergence). His academic advising includes fostering interdisciplinary programs like the MIT Quest for Intelligence and postdoctoral fellowships. He champions diversity through initiatives like the Faculty Gender Equity Committee and Daniel J. Riccio Graduate Engineering Leadership Program. Labs/Teams: Leads MIT's Office of Innovation & Strategy, oversees Microsystems Technology Laboratories, and co-chairs the MIT-GE Vernova Energy & Climate Alliance. Key hardware projects include conformable ultrasound patches and battery-free IoT devices.

• Energy-efficient circuits and systems
• Low-power wireless sensors
• Multimedia terminals
• +3 more

Matthew Kirschenbaum is a Distinguished University Professor of English at the University of Maryland, with affiliate appointments in the College of Information Studies. He specializes in digital humanities, media studies, and book history, holding prominent roles such as chair of the Society for the History of Authorship, Reading and Publishing board. His interdisciplinary work bridges literary studies, technology, and archival science. Education: B.A. from SUNY Albany; M.A. and Ph.D. in English from the University of Virginia. Research Interests: His scholarship explores writing technologies, digital preservation, artificial intelligence’s impact on literature, and the materiality of media. He co-founded BookLab, a makerspace for book arts and letterpress printing, emphasizing hands-on engagement with literary and technological history. Recent projects include analyzing AI-generated texts and the future of digital literary heritage. Article Trends: His work spans AI ethics, digital forensics, wargaming as narrative form, and the legacy of word processing. He bridges academic rigor with public engagement through writing for outlets like The Atlantic and The Washington Post. Awards & Grants: Over $1M in grants secured, including a Guggenheim Fellowship and NEH support. His book Mechanisms won multiple awards for its forensic analysis of digital media. Advising & Mentoring: Founded the Design Cultures and Creativity living-learning program and the graduate certificate in Digital Studies. Mentored students like Diana Proenza and Nat McGartland, emphasizing accessibility and collaborative innovation. Labs & Teams: Directed the Maryland Institute for Technology in the Humanities (MITH) for a decade, fostering interdisciplinary digital humanities projects. BookLab remains a hub for experimental book arts and technology integration.

• Media Studies
• Digital Humanities
• Electronic Literature
• +5 more

Jan De Bruyne is a Lecturer at the Faculty of Law and Criminological Sciences, KU Leuven. He chairs the Research Unit KU Leuven Centre for IT & IP Law and serves as Division Head of the CiTiP Division (Center for IT & IP Law). He is actively involved in interdisciplinary research at the intersection of law, artificial intelligence, and technology, with a focus on liability frameworks, data governance, and ethical AI. Member of Leuven.AI - KU Leuven Institute for Artificial Intelligence Member of LIM - KU Leuven Institute for Mobility Member of LISS - KU Leuven Institute for Sports Sciences His research interests center on legal challenges posed by artificial intelligence, including liability for AI systems, comparative law approaches, and ensuring compliance through design. He explores fairness in AI through moral damage compensation, safety principles in healthcare AI, and regulatory mechanisms for human oversight in AI systems. His work addresses the democratization of Big Tech regulation, quality improvement in hernia surgery via big data, and user flexibility in energy networks. Recent publications analyze intersections between the AI Act and GDPR, EU data regulation for energy transitions, and comparative liability frameworks for autonomous vehicles. As a promotor or co-promotor, he leads 12 active research projects (2024-2028) on topics ranging from AI ethics to medical device regulation. Jan De Bruyne teaches courses including ICT Law, Electronic Contracts Law, and Technology & Law at KU Leuven.

• Law and technology
• Tort law
• Artificial intelligence
• +3 more

Salih ERMİŞ serves as Assistant Professor and Department Head in the Department of Electrical and Electronics Engineering at Kırşehir Ahi Evran University's Faculty of Engineering and Architecture. With 25+ years of continuous service since 2000, he progressed from Instructor to Doctoral Lecturer in 2018 and assumed departmental leadership in 2022. His academic foundation includes a PhD (2019), MSc (2003), and BSc (2000) in Electrical Education from Gazi University, complemented by English proficiency certification (YDS 55, 2015). His educational journey demonstrates deep institutional commitment: PhD: Electrical Education, Gazi University Institute of Science (2004-2019) MSc: Electrical Education (Thesis), Gazi University Institute of Science (2001-2003) BSc: Electrical Education, Gazi University Faculty of Technical Education (1995-2000) ERMİŞ's research centers on electrical energy systems with emphasis on metaheuristic optimization applications. His work bridges theoretical algorithms and practical power grid challenges, particularly in voltage stability, renewable integration, and smart grid technologies. Recent publications reveal a strategic shift toward photovoltaic forecasting and educational technology, including augmented reality tools for circuit analysis. His methodology consistently applies nature-inspired algorithms (Ant Colony, Grey Wolf, Particle Swarm) to solve multi-objective power flow problems while addressing agricultural energy needs and distribution network efficiency. His publication portfolio shows consistent growth in high-impact domains, with 2023-2025 works focusing on distributed generation optimization, PMU placement, and environmental economic dispatch. The research demonstrates strong industry relevance through industrial control circuit analysis and solar radiation-based output estimation. Award recognition includes: Best Paper Award at 2017 IEEE ICRERA for FACTS devices research As an advisor, he has supervised two Master's theses on photovoltaic forecasting and metaheuristic load flow analysis. His grant leadership spans seven projects including mobile AR applications for engineering education (2025-2027), short-circuit fault analysis software (2023-2024), and solar panel efficiency testing (2021-2023). Collaborative work with researchers like Ramazan Bayındır and Mehmet Yeşilbudak over 2016-2023 demonstrates sustained interdisciplinary teamwork. Current initiatives focus on visual programming tools for power system education and hybrid PV/wind optimization.

• Electrical Energy and Power Systems
• Power System Optimization
• Renewable Energy Integration
• +4 more

Pedro Adão is an Assistant Professor at the Department of Computer Science and Engineering (DEI) of the Instituto Superior Técnico (IST) , University of Lisbon . He is affiliated with the SQIG - Security and Quantum Information Group at the Institute of Telecommunications , formerly part of CLC - Logic and Computation Centre . His work bridges formal methods and computational cryptography , focusing on security protocols , software security , and quantum information security . PhD in Mathematics (2006, IST) with thesis "Formal Methods for the Analysis of Security Protocols" Graduated in Applied Mathematics and Computation (2002, IST) with thesis "Electronic Money" His research interests include verification of secure systems, composition of secure systems, mathematical foundations of cryptography, and physical/day-life security. His publications span topics like firewall configuration tools , smart contract verification , quantitative protocol analysis , and computationally sound symbolic cryptography . He has collaborated with institutions such as the University of Pennsylvania, Microsoft Research Cambridge, and INRIA-Microsoft Research Paris. Key teaching contributions include courses in Introduction to Algorithms and Data Structures , Computational Models in Security , and Software Security . He is a member of the SQIG research group and has organized the SQIG Information Security Seminar . Past teaching roles include lecturing at the Catholic University of Portugal and the Air Force Academy.

• Verification of Secure Systems
• Software Security
• Web Security
• +5 more

Hacı Güzel GÜLEÇ is a Lecturer at Kastamonu University , affiliated with the Cide Rıfat Ilgaz Vocational School and Electronics and Automation Department . He has been in this position since 2010 and served as Department Head from 2013 to 2018. His academic journey includes a PhD in Electrical-Electronics and Computer Engineering (2022) from Düzce University , an MSc in Electrical and Electronics Engineering (2017) from Karabük University , and a BSc in Electronics and Communication Engineering (2003) from Süleyman Demirel University . His research focuses on Electromagnetics , Microwave and Antenna Technologies , Fuzzy Logic , and Semiconductors . He has published extensively on applications of Artificial Neural Networks (ANN) and ANFIS in energy systems, material science, and power electronics. Notable trends in his work include: Renewable energy optimization using ANN (e.g., solar and wind energy prediction). DC-DC converter designs for energy storage (e.g., Arduino-based battery charging systems). Electromagnetic field analysis in applied physics (e.g., solenoid modeling). Predictive modeling for composite materials (e.g., Cu-TiC composites). His collaborative efforts span institutions like Afyon Kocatepe University and Karabük University , working with researchers such as Ünal Kaya , Hüseyin Demirel , and Murat Caner . No formal awards or student advising records are publicly documented.

• Electromagnetics
• Microwave and Antenna Technologies
• Fuzzy Logic
• +1 more

R. Iris Bahar is a Professor of Computer Science and Engineering at Colorado School of Mines, where she serves as Department Head of Computer Science since 2022. Previously, she held dual appointments as Professor of Engineering and Computer Science at Brown University for 26 years. Her research focuses on energy-efficient and reliable computing across system-level to device-level domains, with applications in near-data processing, robust machine learning for robotics, and noise-immune nanoscale circuit design. Research Interests include computer architecture, low-power design, and robotic system optimization. She pioneers hybrid generative-discriminative inference techniques for robot scene perception, achieving 40% accuracy improvements in occluded environments through FPGA-based Monte-Carlo sampling implementations. Her work on subthreshold CMOS noise modeling provides 1000x simulation speedups over SPICE-based methods. Near-Data Processing Architectures Approximate Computing Hardware/Software Co-design Nanoscale Noise Modeling Robust AI for Robotics Scientific Awards include the 2024 IEEE Undergraduate Teaching Award, 2019 Marie R. Pistilli Women in Engineering Achievement Award, and NSF CAREER award. She is an IEEE Fellow and ACM Distinguished Scientist. Funded Research spans NSF grants on thermal noise effects ($360k), durable data structures ($500k), and Brown SEED grants for autonomous robotics. Her lab trains 12+ students in hardware acceleration and probabilistic computing.

• Computer Architecture
• Low Power Design
• Machine Learning
• +5 more