Academic staff and research fields

• Developing technologies for brain and cancer mapping
• Developing bioinformatics tools for big data analysis
• Developing optical and chemical methods for tissue characterization with super resolution
• Automation of microscopic systems and biochemical reactions
• Performing and analyzing high through put molecular measurements

• Artificial Intelligence
• Heuristic Search
• Multi-Agent Planning
• Optimizing

• Wireless and wired communication theory
• Stochastic geometry and its use in communications
• Cache aided communication
• Optimization of communication networks
• Nano communications

• Human Resources Analytics (HRA) & People Analytics (PA)
• Technology, Artificial Intelligence & Organizations
• Work Modeling & Analysis
• New Forms of Work
• Person-Skill Fit Model

• Quantum optics
• Quantum computation
• Advanced quantum measurements/quantum sensing
• Quantum information 

• Online algorithms and competitive analysis
• Algorithmic Game Theory
• Stochastic Optimization
• Approximation algorithms
• Scheduling and resource allocation

• Design, learning, optimization and management of complex systems (projects, startups, service organizations, robot/sensor/human environments)

• Develop tools for rapid and highly sensitive detection of viruses and bacteria

• Optoelectronic devices
• Quantum optics
• Quantum information science
• Nano Photonics
• Nanofabrication
• Non linear optics

• Neural information processing
• Neuroimaging of the human brain using multiple techniques (functional MRI, EEG, Electrocorticography)
• Machine learning and development of computational methods for the analysis of neural signals
• Mapping functional brain networks
• Integration of multi-modal neural data
• Development of techniques for functional brain mapping for clinical applications

• Machine Learning
• Computer vision
• Learning on graph structured data
• Generative models

• Power reduction methodologies for high speed digital and mixed signal VLSI chips
• Energy Efficient Memory arrays
• Bio-medical circuits and systems
• Energy efficient logic families
• CMOS image sensors and applications
• Hardware security
• Circuits and Systems for quantum computation
• Optical devices for logic and memory design in standard VLSI process
• Circuits and systems for biomedical applications

• Nano photonics
• Fluorescence lifetime and anisotropy
• Time resolve measurements
• Biomolecular imaging
• Advanced Communication protocols
• Telephony (PSTN, PLMN, Cellular – GSM, GPRS, UMTS, LTE, 5G, CDMA, 1X)

Temporal optics:

• Temporal depth imaging
• Time-lenses for orthogonal polarized input signals
• Temporal super resolution methods
• Full Stocks time-lenses
• Temporal and spatial evolution of ultra-fast rogue waves

Fiber Devices:

• Long period fiber gratings
• Gold coated tapered fibers
• Fiber micro-knots

Fiber lasers:

• Carbon nanotubes
• Graphen
• Topological insulators

• Single microphone speech enhancement and source separation
• Array processing techniques for source localization and acquisition and noise reduction. Application to speech enhancement, echo cancellation, and dereveberation
• Recursive Bayesian and non-Bayesian inference with application to speech processing
• System identification techniques and adaptive filtering
• Speech Processing for Hearing Aid Devices
• Distributed algorithms for wireless and ad hoc microphone arrays
• Data-driven methods (e.g. manifold learning, deep learning) in speech processing

• Coding Theory
• Distributed Computing
• Interactive Protocols and Communication
• Fault-Tolerance in Computation
• Cryptography
• Quantum Computation

• Deep learning and its applications

• Computational Materials
• Electronic structure theory
• Quantum mechanics
• Theoretical Chemistry
• Nanomaterials
• 2D materials
• Light matter interactions.

• Approximation algorithms
• Stochastic/data-driven optimization and decision making under uncertainty
• Dynamic programming
• Inventory theory
• Supply chain management

• Cryptography and secure multi-party computation (MPC)
• Scalable asymptotic and practical efficiency of MPC
• Zero-knowledge proof systems

• Single cell genomics
• Cancer genomics
• Computational biology

• Deep Learning

• Coding for computer systems
• Circuit level countermeasures against side channel attacks
• Coding for reliable and secure nano-computation channels
• Spectral methods and their application in logic design and testing
• Concurrent error detection and fault tolerant design

• Formal Verification and Synthesis: Verification of autonomous systems, Program synthesis
• Visual Languages: Design and Analysis of Reactive Systems
• Biological Computation: Biological Computers and Computation in Living Systems
• Developmental Systems: Stem cells and Whole tissue and organism models

• Cooperative Learning
• Applications of Game Theory to Networks
• Decision Making Under Uncertainty *Learning in Networks
• Communication and Sensor Networks *Wireless Communication
• Single Processing in Networks

• Designing secure hardware
• Theoretical and practical security evaluation of hardware systems
• Advanced (hardware and software) attacks algorithms
• hardware/software implementation of cryptographic algorithms and systems
• Designing efficient building blocks such as randomness generators or other primitives
• Low-energy and/or high-performance implementation on ASIC/FPGAs/uCs

• Biological network design principles
• Systems biology: model and predict the emergent properties of biological systems
• Aging dynamics of cells and tissues
• Data science for disease analysis and improved clinical interventions
• Designing computational approaches for single cell multi-omics data analysis
• Microbiome in health and diseases
• Personalized nutrition strategies

• Light-matter interactions
• Nano-optics and Nano-photonics
• Developing subwavelength meta-devices and meta-lenses for LIDAR, Imaging, Sensing, Holography etc.
• Electro-optics in Two dimensional and Quantum materials.
• Polaritons
• Infrared Nanospectroscopy

• Machine Learning
• Deep Learning and Applications
• Feature Extraction and Selection
• Learning from Biomedical Data

• Digital humanities
• Social Networks
• Artificial Intelligence
• Digital Literature
• Digital Analysis of Movies
• Machine Learning
• Digital Narrative
• Distributed Computing
• Communication Networks
• Online Algorithms
• Sensor Networks

• Quantum computing
• Quantum algorithms
• Quantum learning

• D2 Materials: Electronic and Optoelectronic Devices
• Growth and Characterization of 2D Materials
• Quantum Materials and Devices

• Theory of Reliable Hardware Design, and Fault-Tolerant Systems.
• Design and Analysis of Algorithms.
• Online Algorithms (Packet Routing, Virtual Circuit Routing, Virtual Networks, Software-Defined Networks, Paging)
• Approximation Algorithms (Network Orientation, Wireless Networks, Packet Routing)
• Distributed and Centralized Local Algorithms (Network Optimization, Load Balancing, Social Networks, Property Testing).

• Interference Mitigation in wireless communications networks
• Estimation theory, Bound on estimation error
• Cooperative and Competitive *Spectrum management in wireless networks
• Signal processing for communications
• Signal processing for biology

• Smart nanotechnologies for biological and medical applications
• Early diagnosis and treatment of disease
• Targeted drug delivery
• Molecular CT imaging
• Nanotechnology combining cell therapy and exosome therapy
• Integrated biosensors for in vivo detection of biological events

• Network algorithms
• Approximation algorithms
• Distributed computing
• Online algorithms
• Scheduling and resource allocation

• Hetroanionic materials
• Thermoelectric materials
• Ionic materials
• Transport properties of ceramics

• Deep Learning and its Applications

• Machine Learning Theory
• Differential Privacy
• Algorithms
• Algorithmic Game Theory

• Studying the nervous system at the single cell level and systems for neuronal regeneration
• Tissue engineering and Neuro-engineering - 3D cell-integrated systems
• Nanotechnologies for therapeutics, magnetic nanoparticles as drug and cell carriers
• Development of biolistic setups as gene guns, robotic systems
• Development of brain-device and neuron-device interfaces

• Sensor Interfaces for physical parameters, such as temperature voltage, current, process, etc
• Voltage Droop Detectors
• Ultra Low-Power and Low Voltage *Analog Circuits
• Methodologies and building blocks for analog circuits in pure digital processes
• Area-scaling of analog circuits
• Power management Circuits, such as LDO's, Voltage Regulators, and DC-to-DC converters
• Security Circuits, such as Physical *Uncloneable Functions (PUF)
• Energy-Efficient Circuits
• Novel Memory Circuits
• High Frequency Circuits
• Microsensors

• Machine learning and business analytics
• Human resource analytics
• Applications of information theory to industrial and service systems
• Modeling and solution methods for optimal control problems in stochastic environment

• Information Theory
• Channel Coding and Mismatched *Decoding
• Cognitive Networks
• Communication with side information
• Information-Theoretic Secrecy in *Wireless Networks
• Communication Theory
• Networks and Multiuser *Communication
• Cooperative Communication
• Watermarking and Information Hiding
• Prediction and Filtering

• VLSI Integrated Circuit Design
• Embedded Memory Design
• Efficient Digital Circuit and *Accelerator Design
• Physical implementation of *Integrated Circuits
• Efficient hardware for artificial intelligence
• Open hardware research based on the RISC-V architecture

• Surfaces and interfaces: the development of ultra-repellent materials to prevent wetting and wetting-related phenomena such as corrosion and biofouling to prevent the formation of biofilms, such as bacteria and marine organisms.
• Development of experimental techniques and devices for unambiguous measurements of wetting properties of surfaces.

• Processes for creating functional surfaces using various modification techniques, from mechanical to chemical and electrochemical.

• Plasmonic nanomaterials: the development of nanometric materials for chemical and biological sensing applications.

• Single-atom catalysis: the development of single-atom co-catalysts for the photocatalytic applications.

• Machine Learning (Deep Learning): Theory and Applications
• Signal and Image Processing
• Computer Vision
• Optimization
• Inverse Problems

• Computer graphics
• Digital geometry processing

• Statistical signal processing
• Digital signal processing
• Array signal processing
• Estimation theory
• Localization
• Communication systems
• Blind Source separation
• Statistical Inference
• Applications of machine learning

• Cryptography
• Zero-Knowledge Proof Systems
• Probabilistic Proof Systems
• Secure Computation in the RAM model
• Secure Multi-Party Computation

• Federated learning networks
• Resilience and control in distributed networks
• Random networks
• Data processing, detection, and statistical inference
• Applications of information theory

• Information theoretic aspects of practically oriented communication system models
• Cooperative joint processing in cellular communications systems
• Applications of random matrix theory and statistical physics in communication and information theory

• Super resolution
• Biomedical sensing
• Nanophotonics
• Optical fibers
• Optical data processing