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

• Quantum nanophotonics
• High dimensional Quantum computation
• Quantum communications
• Nonlinear optics

• Machine learning for communication
• 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
• Brain computer interfaces
• Neuroimaging of the human brain using multiple technologies (functional MRI, EEG, Electrocorticography)
• Machine learning and development of computational approaches for neural signal analysis
• Development of tools for functional brain mapping for clinical applications
• Integration of multi-modal neural data
• Mapping functional brain networks

• 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

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

• Connectivity and coordinated behavior in complex and encrypted systems, using machine learning and network theory. Developing models to advance security, resilience, and predictive analytics across domains like cyber-security, finance, and biology.

• 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

• Electronic structure of materials
• Developing ab-initio quantum chemistry methods for periodic systems
• Quantum mechanics
  *Nanomaterials, 2D materials , Quantum dots, Quantum materials
• Light and matter interactions
• Modeling of electronic properties of nanostructures
• Simulating excited state properties and transfer mechanisms in complex molecules and materials
• Non-Hermitian quantum mechanics

• 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 in cancer
• Computational biology & bioinformatics
• Machine learning for biological data
• Gene regulatory networks
• RNA splicing and polyadenylation mechanisms

• 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

• AI and Art
• Cooperative Learning
• 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

• 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).

• D2 Materials: Electronic and Optoelectronic Devices

• Growth and Characterization of 2D Materials

• Quantum Materials and Devices

• 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

• Neurophotonics
• Brain Computer Interface
• Neurofeedback
• Remote Biophotonics Sensing
• Neuroacoustics
• Optical Noninvasive Brain Imaging

• Quantum materials for quantum sensing, quantum communication, and quantum computation
• Synthesis and characterization of novel colloidal quantum dots and semiconductor nanocrystals
• Optically active spin defects in nanomaterials for quantum applications
• Single-emitter photoluminescence spectroscopy
• Single-photon sources based on semiconductor nanostructures
• ODMR spectroscopy and quantum optics
• Carrier dynamics and exciton–spin interactions in semiconductor quantum dots
• Nanocrystal superstructures and collective quantum phenomena in coupled systems

• 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

• Robustness, Pruning, and Scalability of Deep Neural Networks

• Constrained Machine Learning / Learning under Constraints

• Machine Learning for Medical Data Analysis and Decision Support

• Modeling and Algorithms for Optimal Control Problems in Stochastic Environments

• 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

• Computer architecture
• Dedicated hardware accelerators
• Computational genomics

• 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

• Atomic-light interaction
• Quantum optics
• Quantum information science
• Quantum metrology
• Nano Photonics
• Nanofabrication
• Nonlinear optics