Find Academic Supervisors

Glauco FontgallandView profile

Visiting Assistant Professor

• Antennas
• Microwave Filters
• RF Circuits
• +4 more

Dr. Glauco Fontgalland is a Visiting Assistant Professor in the Department of Electrical and Computer Engineering at Mount University. He holds a Ph.D. in Electrical Engineering from the National Polytechnic Institute of Toulouse, France, and M.S./B.S. degrees from the Federal University of Paraiba, Brazil. His research focuses on advanced antenna systems, microwave filter design, RF circuit optimization, and negative group-delay technologies for modern communication applications. Primary research domains include: Antenna design innovations including fractal and circularly-polarized configurations Negative group-delay circuits for signal propagation enhancement Electromagnetic compatibility and interference analysis UAV communication channel modeling His recent publications demonstrate consistent focus on microwave component optimization, with emerging emphasis on orbital angular momentum beamforming and flexible antenna durability. Experimental methodologies dominate his research approach.

Dimitra SouliotiView profile

Senior Lecturer

• Materials Engineering
• Composite Materials
• Additive Manufacturing
• +1 more

Dimitra Soulioti is a Senior Lecturer in Materials Engineering at Sheffield Hallam University's Department of Engineering and Mathematics. She holds a PhD in Materials Engineering from the University of Ioannina and a Civil Engineering degree from Aristotle University of Thessaloniki. She joined SHU in 2014 as an Associate Lecturer and became Senior Lecturer in 2021. Her research focuses on mechanical behavior of structural and composite materials using destructive and non-destructive methodologies. Current projects include advanced lightweight composites for structural applications and non-destructive monitoring of advanced materials. Teaching areas: Aerospace Engineering Automotive Engineering Materials Engineering Sustainable Engineering Railway Engineering She has published 26 papers with over 1400 citations and is a Fellow of the Higher Education Academy since 2018.

Mahrukh KhanView profile

Assistant Professor

• Electromagnetics
• RF & Microwave Circuits
• Antennas
• +7 more

Mahrukh Khan is an Assistant Professor of Electrical and Computer Engineering at The College of New Jersey (TCNJ). She holds a Ph.D. from the University of Missouri-Kansas City (2017), an M.Sc. from the University of Engineering and Technology, Lahore (2011), and a B.Sc. from the same institution (2007). Her research focuses on electromagnetics, microwave circuits, antennas, and 5G/6G communication technologies. Dr. Khan’s academic roles include service on TCNJ committees such as the School of Engineering Curriculum Committee and the Diversity, Equity, and Inclusion Committee. She teaches courses like Engineering Electromagnetics, Communication Systems, and Wireless and Communications Laboratory. Her research lab, the Microwave and Wireless Communication Lab (MWCL), develops advanced antenna systems and wireless communication solutions. Her work emphasizes antenna miniaturization, radiation pattern optimization, and reconfigurable antenna arrays for 5G/6G applications. Notable projects include NSF-funded research on antenna design and a smart cloth tracking system. Recent contributions include papers on radiation reconfigurable antennas, beamforming analysis, and substrate integrated waveguide leaky wave antennas. Grants: NSF Engineering Research Initiation Grant (2022), TCNJ MUSE Grant (2022) Awards: 2024 TCNJ Early Career Faculty Excellence Award, IEEE AP-S Young Professional Ambassador (2022) Professional Affiliations: IEEE Young Professionals, IEEE Antennas and Propagation Society She actively contributes to conferences like IEEE International Symposium on Antennas and Propagation and serves as a reviewer for IEEE journals. Her lab facilities include antenna fabrication tools and advanced simulation software, supporting student research in microwave and wireless systems.

• Power Systems
• Clustering Algorithms
• Energy Grid Stability
• +3 more

Dr. Faycal Znidi is Assistant Professor of Electrical Engineering, specializing in power systems analysis and energy grid technologies. His research develops advanced clustering algorithms for grid stability and partitioning. Research focuses on power system coherency detection, transient stability indices, intelligent islanding schemes, and renewable integration. Methodologies employ hierarchical clustering, spectral analysis, and synchronization coefficients to enhance grid resilience and fault management. Recent publications address emerging challenges in sustainable energy systems, including perovskite solar cells, 3D graphene applications, and pandemic modeling. Educational contributions examine engineering pedagogy through comparative studies of capstone programs.

Katharine CammackView profile

Associate Professor

• Neuroscience
• Behavioral Neuroscience
• Addiction
• +4 more

Dr. Katharine Cammack is an Associate Professor of Psychology and Director of the Neuroscience Program at The University of the South. She holds a B.S. from Santa Clara University and a Ph.D. in Integrative Neuroscience from Rutgers University, with postdoctoral training at Rockefeller University and Icahn School of Medicine at Mount Sinai. Her research focuses on neural mechanisms underlying drug addiction, sex differences in opioid response, and behavioral neuroscience. She has received numerous awards, including the 2022 Excellence in Teaching Award and National Institute on Drug Abuse fellowships. Dr. Cammack also leads community initiatives addressing opioid misuse in rural Appalachia and advocates for inclusive STEM education. Education & Training: B.S., Psychology, Santa Clara University (2004) Ph.D., Integrative Neuroscience, Rutgers University (2009) Postdoctoral Fellow, Icahn School of Medicine at Mount Sinai (2012–2015) Research Interests: Dr. Cammack’s work explores how opioids alter learning and motivation, sex-specific drug responses, and individual vulnerability to addiction. She uses rodent models to study these mechanisms and collaborates with local anti-drug coalitions to assess community perceptions of substance use. She emphasizes interdisciplinary approaches, blending behavioral, molecular, and sociocultural perspectives. Awards & Recognition: Dean’s Excellence in Teaching Award (2022) Kennedy Endowed Fellowship (2018–2020) APA Division 6 Award (2017) Advising & Labs: Dr. Cammack mentors undergraduate researchers in her Behavioral Neuroscience lab, focusing on skills like hypothesis design, data analysis, and science communication. Recent lab projects address opioid policy, maternal behavior in drug-exposed mice, and innovative experimental methodologies. She prioritizes fostering student independence and critical thinking in research.

Susantha HerathView profile

Professor

• Systems and Security
• Network Security
• Natural Language Processing
• +4 more

Dr. Susantha Herath is a Professor in the Information Systems Department at St. Cloud State University's Herberger Business School. He joined the department in Fall 2001 and has prior academic experience at the University of Aizu (1993-2001) and South West Texas State University (1990-1993). His primary teaching areas include Management Information Systems, Systems Analysis and Design, Security and Management of Operating Systems, IT Risk Management, and Research Methodology. Ph.D. in Electrical and Computer Engineering, Keio University, Japan, 1991 M. Eng. in Industrial and Computer Engineering, Electro-Communications University, Japan, 1987 B.S. in Business Administration, Sri Jayawardhanapura University, Sri Lanka, 1978 His research focuses on high-performance dependable systems, network security, natural language processing, and artificial intelligence. He explores probabilistic models for anomaly detection, statistical quality control approaches to intrusion detection, and interdisciplinary applications of computer forensics in accounting and healthcare. His work spans cybersecurity, machine learning, and educational innovations in information systems. Dr. Herath has received recognition as a Senior Member of IEEE. His publications demonstrate expertise in spam detection, economic modeling, and enhancing security curricula through active learning methodologies. He has also contributed foundational work in multilingual perception analysis and computer security laboratories.

Brooke VetterView profile

Assistant Professor

• Comparative anatomy and physiology
• Sensory physiology
• Auditory-driven behaviors
• +2 more

Brooke Vetter is an Assistant Professor in the Department of Biology at the University of St. Thomas, specializing in sensory physiology and auditory-driven behaviors of vertebrates. Her research focuses on fish auditory systems, environmental adaptation, and impacts of anthropogenic noise. University of Washington, Postdoc U.S. Geological Survey, Postdoc University of Minnesota, PhD St. Catherine University, BA Her work integrates comparative anatomy, neurophysiology, and ecological applications to study how aquatic organisms detect and respond to environmental stimuli. Current research examines sound detection mechanisms in invasive carps and potential control strategies using acoustic deterrents. Recent publications demonstrate expertise in bioacoustics, auditory neurophysiology, and environmental impact studies. Key trends include invasive species management through sound manipulation, sensory trade-offs in aquatic organisms, and neural basis of auditory behaviors. Dr. Vetter teaches advanced courses in vertebrate anatomy and physiology, emphasizing evolutionary adaptations and system integration. She leads a research lab investigating sensory ecology and environmental stressors on aquatic life.

Aimee NelsonView profile

Professor

• Neurophysiology
• Transcranial magnetic stimulation
• Motor control and plasticity
• +7 more

Aimee Nelson is a Professor in the Department of Kinesiology at McMaster University, Canada. She obtained her BSc in Psychology from McMaster (1997) and her PhD from the University of Toronto (2003). Her research integrates non-invasive brain stimulation, electromyography and behavioural assays to investigate sensorimotor plasticity, pain syndromes, movement disorders and exercise-induced neuroplasticity. Education: PhD, University of Toronto, 2003 BSc Psychology, McMaster University, 1997 Research interests span neurophysiology of motor control, transcranial magnetic stimulation methodologies, spinal cord injury, Parkinson’s disease, dystonia, sex-hormone influences on plasticity, and development of EMG-based biofeedback technologies for rehabilitation. Across >100 peer-reviewed articles her group has advanced understanding of afferent inhibition circuits, ipsilateral motor pathways, exercise-neuroplasticity interactions, and TMS-based therapeutics for chronic pain conditions including CRPS, fibromyalgia and diabetic neuropathy. She currently teaches undergraduate and graduate neurophysiology courses (KINESIOL 3HN3, 4AN3, 729, 713) and maintains an active laboratory at McMaster University.

Marc DandinView profile

Assistant Professor

• Integrated Circuits
• BioMEMS
• Biosensors
• +7 more

Marc Dandin is an Assistant Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. He joined CMU in July 2019 after co-founding a medical diagnostics startup and working in intellectual property law in Washington, D.C. His research focuses on bioelectronics, microsystems engineering, and integrated circuits, aiming to bridge electronics and biological systems for novel diagnostic tools and therapies. Education: Ph.D., Bioengineering, University of Maryland, College Park (2016) M.S. and B.S., Electrical Engineering, University of Maryland, College Park (2011 and 2009) Research Interests: Dr. Dandin’s work integrates CMOS bioelectronics, lab-on-chip systems, and machine learning for applications in cancer cell analysis, single-photon detection, and cybersecurity. Key areas include: Capacitance sensing platforms for real-time cell viability measurements Single-photon avalanche diodes (SPADs) for quantum imaging and hardware security Translational bioengineering for unmet medical needs Awards & Grants: NSF CAREER Award (2025) ARPA-H $42M grant for implantable bioelectric devices (2024) Oracle Research Project Award for single-cell cancer research (2022) IEEE Senior Member (2017) Advising & Outreach: His Integrated Circuits and Bioengineering Lab engages students in multidisciplinary projects, including entrepreneurship practicums and educational frameworks for middle/high school optoelectronics training. Research collaborations emphasize translational impact, combining lab-on-CMOS platforms with cloud-based data analysis. Labs/Teams: Leads the Integrated Circuits and Bioengineering Lab, collaborating with CMU’s Robotics Institute and biomedical engineering groups to advance cell-based diagnostics and cybersecurity in healthcare systems.

Ken MaiView profile

Research Professor

• High-Performance Circuit Design
• Secure IC Design
• Radiation Hardening
• +4 more

Ken Mai is a Principal Systems Scientist in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), part of the College of Engineering. He holds a B.S., M.S., and Ph.D. in Electrical Engineering from Stanford University. His research focuses on high-performance circuit design, secure IC design, radiation hardening, reconfigurable computing, and computer architecture. He has received prestigious awards including the NSF CAREER Award and the George Tallman Ladd Research Award. Education: Ph.D., Electrical Engineering, Stanford University, 2005 M.S., Electrical Engineering, Stanford University, 1997 B.S., Electrical Engineering, Stanford University, 1993 Research Interests: Dr. Mai’s work addresses challenges in nanometer-scale CMOS technology, including interconnect delay, leakage, and soft errors. His projects include secure IC design against hardware attacks, robust memory techniques using digital communications, 100GHz logic via cryogenic cooling, and bio-implantable computing platforms. He collaborates with neurosurgeons at the University of Pittsburgh for medical applications. Key Projects: Secure IC Design: Countermeasures against invasive/non-invasive attacks Robust Memory Design: Error correction codes for resilience 100GHz Logic: Cryogenically cooled CMOS for high-speed applications Bio-Implantable Systems: Low-power, high-density computing for medical devices Awards: NSF CAREER Award George Tallman Ladd Research Award Eta Kappa Nu Excellence in Teaching Award Teaching and Advising: He teaches courses like 18-322 (Digital Circuits), 18-617 (Memory Systems), and advises students including Mudit Bhargava and Mark McCartney. His lab, the VLSI Design Group, develops tools and methodologies linking circuit design to architectural design. Contact: Email: kenmai@ece.cmu.edu Website: Carnegie Mellon VLSI Design Group

Tamal MukherjeeView profile

Professor

• MEMS Design
• Microfluidics-Based BioChips
• RF Communication Systems
• +3 more

Tamal Mukherjee is an Associate Department Head for Students and Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University. He holds leadership roles including Faculty Director of the Intelligent Transportation Systems (ITS) program and Associate Director of the MEMS Laboratory. His research focuses on design automation for MEMS, microfluidics-based biochips, and RF circuits with applications in sensor fusion and navigation systems. Education: B.S., M.S., and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University (1987–1995). Research interests include developing design methodologies for integrated MEMS systems, enhancing RF circuit performance through micromachining, and high dynamic range sensing via multi-sensor fusion. His work bridges analog, RF, MEMS, and microfluidic technologies to address challenges in GPS-challenged navigation, biochip systems, and low-power communication. Labs/Teams: Associate Director of the MEMS Laboratory. Active in interdisciplinary collaborations involving sensor system integration and biochip design.

Nicco ReggenteView profile

Lecturer

• Meditation
• Aesthetic Chills
• Technodelics
• +6 more

Nicco Reggente is a Lecturer at University of California, Los Angeles (UCLA) and Research Director at the Institute for Advanced Consciousness Studies (IACS). His work integrates cognitive neuroscience , meditation studies , and technodelics using neuroimaging , neurofeedback , and machine learning to advance well-being and adaptive belief systems . He also explores VR-based memory enhancement and prognostic neuroimaging for treatment prediction. Research Interests : Decoding meditation depth via EEG and fMRI Neural mechanisms of aesthetic chills and emotional experiences Developing Neuroprint protocol for individualized brain response characterization Non-invasive tFUS neuromodulation of subcortical regions VR-based cognitive enhancement and memory rehabilitation Labs & Projects : As Research Director at IACS, he leads initiatives combining EEG , fMRI , DTI , and tFUS with machine learning to create personalized neurofeedback systems. The institute focuses on democratizing non-ordinary states of consciousness through experiential technology.

Jürgen BruggerView profile

Professor

• MEMS & Nanotechnology
• Micro/Nanomanufacturing
• Additive Manufacturing
• +3 more

Jürgen Brugger is a Full Professor at EPFL's School of Engineering with primary affiliation in the Institute of Microengineering (IMT) and cross-appointments in Materials Science (IMX) and Doctoral Education (EDMI/EDAM). His laboratory (LMIS1) operates from Building BM at EPFL's main campus in Lausanne, Switzerland, where he leads research in MEMS and Nanotechnology with applications in biomedical systems and wearable devices. His research spans MEMS & Nanotechnology , Micro/Nanomanufacturing , and Additive Manufacturing with emphasis on Development of biodegradable implantable microsystems Advanced microfabrication processes including thermal scanning probe lithography Wearable biomedical sensors and drug delivery systems Microscale additive manufacturing for flexible electronics His group has pioneered techniques for plastic MEMS, biocompatible microdevices, and mixed-reality education tools. His publication record shows strong focus on additive micro-manufacturing (particularly melt electrowriting), biomedical applications (cochlear implants, drug delivery), and advanced nanofabrication (block copolymers, 2D materials). Recent work integrates superconducting elements for quantum sensing and develops water-soluble micro-molds for pharmaceutical applications. Scientific recognition includes: ERC Advanced Grant (2017) for MEMS 4.0 project IEEE Fellow designation (2016) MNE Fellow Award (2022) Election to Swiss Academy of Engineering Sciences (SATW, 2024) Professor Brugger has supervised over 25 PhD students and currently teaches courses including Microfabrication Technologies , Advanced Additive Manufacturing , and Nanotechnology . He serves on EPFL's School Council (STI) and Doctoral Program Committee for Advanced Manufacturing. His lab maintains strong industrial partnerships and has spun off multiple startups commercializing microfabrication technologies. The Microsystems Laboratory 1 (LMIS1) operates state-of-the-art cleanroom facilities for micro/nanofabrication, with recent expansions into additive manufacturing and biocompatible materials processing. Current projects focus on biodegradable implants, quantum sensors, and AI-integrated microsystems.

Lanlan SuView profile

Academic

• Robust Control
• Networked Control Systems
• Complex Dynamic Networks
• +4 more

Dr. Lanlan Su is a Visiting Lecturer in the Department of Automatic and Control Systems Engineering at the University of Sheffield. She holds a B.E. in Electrical Engineering from Zhejiang University (2014) and a Ph.D. in Control Systems from the University of Hong Kong (2018), supported by the Hong Kong PhD Fellowship Scheme. Her career includes roles as a Lecturer at the University of Leicester (2020-2022), Postdoctoral Research Associate at the University of Notre Dame (prior to 2020), and visiting scholar at Notre Dame in 2017. Her research focuses on robust control, networked control systems, complex dynamic networks, and distributed optimization. Key areas include stability analysis under channel impairments, distributed resource allocation, and multiplier-based methodologies. She serves as an Associate Editor for the International Journal of Control and the European Control Conference since 2020. Award-winning educator, Dr. Su was honored with the 'My Favorite Professor' title at Leicester International Institute (2020-2022). Her teaching spans control systems design, state-variable control, and digital control systems, emphasizing theoretical foundations and practical applications. Her work integrates control theory with interdisciplinary applications, such as epidemic modeling and nonlinear circuit analysis, reflecting her commitment to advancing systematic methodologies across diverse fields.

• Algebraic statistics
• Experimental design
• Industrial statistics
• +3 more

Roberto Fontana is a Full Professor at the Department of Mathematical Sciences (DISMA) of the Polytechnic University of Turin. He is a member of the Interdepartmental Centre R3C (Responsible Risk Resilience Centre) and actively involved in the College of Management and Production Engineering and the Planning and Design Board. His research focuses on algebraic statistics, experimental design, industrial statistics, and multivariate statistics, with an emphasis on statistical analysis of physical and computer experiments. Fontana holds leadership roles in academic societies, including being an Effective Member of ERCIM (European Research Consortium for Informatics and Mathematics), ENBIS (European Network for Business and Industrial Statistics), and SIS (Italian Statistical Society). He serves as an Associate Editor for the Journal of Applied Statistics since 2017. His teaching spans multiple levels, including PhD courses on statistical modeling and machine learning, as well as undergraduate and graduate courses in statistics across disciplines like Management Engineering and Territorial Planning. He leads the ELBA project (2019–2022), establishing training centers for Intelligent Big Data analysis. Fontana’s recent publications emphasize advancements in contingency tables, Bernoulli distributions, and the integration of design of experiments with machine learning. He currently supervises PhD student Davide Ronco in the Mathematical Sciences program. His work bridges theoretical statistics with industrial applications, emphasizing robust experimental design and computational methods. Fontana actively collaborates on interdisciplinary projects, including environmental and material science applications.