• Virtual reality based gaze-sensitive aiming task platform: role of attention allocation in task performance for individuals with autism and typically developing individuals 

  Rane, Dharma; Sharma, Prachi; Singh, Madhu; Lahiri, Uttama (Institute of Electrical and Electronics Engineers, 2023-02)

  Individuals with Autism Spectrum Disorder (ASD) often exhibit difficulty in movement preparation and allocating attention towards different Regions of Interest (ROIs) of a visual stimulus. Though research has alluded to ...
• On eigenvalue shaping for two-channel decentralized active noise control systems 

  Pradhan, Somanath; Zhang, Guoqiang; Zhao, Sipei; Niwa, Kenta; Kleijn, W. Bastiaan (Elsevier, 2023-03)

  Recent works show that two-channel decentralized active noise control (DANC) systems are able to achieve optimal noise reduction performance with guaranteed convergence by proper matrix eigenvalue shaping for each frequency. ...
• InAs quantum dot-in-a-well heterostructures with InGaAs, GaAsN and GaAsSb well using digital alloy capping layer 

  Kumar, Ravindra; Saha, Jhuma; Tongbram, Binita; Panda, Debiprasad; Gourishetty, Raveesh; Kumar, Ravinder; Gazi, Sanowar Alam; Chakrabarti, Subhananda (Elsevier, 2023-03)

  In this work, the authors introduced a novel approach called digital alloy capping layer (DACL) and investigated its effect on the optical and structural properties of InAs quantum dot-in-a-well (DWELL) heterostructures. ...
• A physics-based compact model to capture cryogenic behavior of LDMOS transistors 

  Kaushal, Kumari Neeraj; Mohapatra, Nihar Ranjan (Institute of Electrical and Electronics Engineers, 2023-03)

  In this work, a detailed characterization of lateral DMOS transistors in the cryogenic regime is carried out. It is shown that carrier freeze-out in the drift region is responsible for increased ON-resistance for temperatures ...
• Structural, electronic and optical properties of fluorinated bilayer silicene 

  Kharadi, Mubashir Ahmad; Mittal, Sparsh; Saha, Jhuma (Elsevier, 2023-02)

  Silicon (Si) is undoubtedly an excellent material for electronic applications. However, Si is not a suitable material for optoelectronic applications due to its indirect bandgap. Based on the first principles approach, we ...
• A novel family of sparsity-aware robust adaptive filters based on a logistic distance metric 

  Kumar, Krishna; Karthik, Munukutla L. N. Srinivas; George, Nithin V. (Institute of Electrical and Electronics Engineers, 2022-12)

  In the recent past, logarithmic hyperbolic cosine based-cost function has been widely applied in adaptive filters as it offers robust performance against outliers. However, the performance of such adaptive filters suffers ...
• Design of SmartWalk for estimating implication of pathway with turn and task condition on postural and gait indices: relevance to fear of fall 

  Pallavi, Priya; Jariwala, Neeti; Patel, Niravkumar; Kanetkar, Manasi; Diwan, Shraddha; Lahiri, Uttama (Institute of Electrical and Electronics Engineers, 2022-11)

  Fear of Fall (FoF) is often associated with postural and gait abnormalities leading to decreased mobility in individuals with Parkinson's Disease (PD). The variability in knee flexion (postural index) during heel-strike ...
• Fiber Bragg grating technology for biomedical ultrasound applications 

  Shekhar, Himanshu; Jajoria, Kuldeep; Jha, Chandan Kumar; Chakraborty, Arup Lal (Acoustical Society of America, 2022-10)

  Fiber Bragg gratings (FBGs) are a class of optical sensors that have been used widely in non destructive testing and monitoring. These sensors are compact, robust, inexpensive and immune to electromagnetic interference. ...
• Silicene/GaAs van der Waals heterostructure for optoelectronic applications 

  Kharadi, Mubashir Ahmad; Saha, Jhuma (Springer, 2022-12)

  Two-dimensional (2D) materials have shown promising results for optoelectronic applications with ever-growing applications. The performance of existing III-V optoelectronic devices can be improved by formulating heterostructures ...
• Surrogate models for device design using sample-efficient deep learning 

  Patel, Rutu; Mohapatra, Nihar Ranjan; Hegde, Ravi S. (Elsevier, 2023-01)

  Generation of training dataset for machine learning-based device design algorithm is expensive. To address this, we propose an active learning approach. Its efficiency is demonstrated through a Deep Neural Network (DNN) ...
• Design of two-phase 4/6 switched reluctance motor for bidirectional starting in washing machine application 

  Upadhyay, Parth; Kanagaraj, Ragavan (Institute of Electrical and Electronics Engineers, 2022-11)

  In this work, design modification of stator poles of conventional two-phase switched reluctance motor is proposed to achieve self-start in both directions of rotation. Stator poles are slanted in a particular direction at ...
• Hierarchical control for voltage unbalance mitigation considering load management in stand-alone microgrid 

  Bera, Souvik; Chakraborty, Sourav; Kar, Susmita; Samantaray, Subhransu Ranjan (Institute of Electrical and Electronics Engineers, 2022-11)

  Unevenly distributed loads at different phases may lead to stability issues and incur high losses in a low inertial microgrid with a rise in Voltage Unbalance (VU). Thus, a suitable control mechanism is mandatory for stable ...
• Dynamics of van der Waals charge qubit in two-dimensional bilayer materials: Ab initio quantum transport and qubit measurement 

  Cao, Jiang; Gandus, Guido; Agarwal, Tarun; Luisier, Mathieu; Lee, Youseung (American Physical Society, 2022-10)

  A van der Waals (vdW) charge qubit, electrostatically confined within two-dimensional (2D) vdW materials, is proposed as a building block of future quantum computers. Its characteristics are systematically evaluated with ...
• Peer-to-peer energy trading in smart grid: frameworks, implementation methodologies, and demonstration projects 

  Suthar, Sachinkumar; Cherukuri, S. Hari Charan; Pindoriya, Naran M. (Elsevier, 2023-01)

  Energy sector is undergoing a massive transformation that includes key aspects such as integrating renewables, improving operational efficiency, leveraging smart grid infrastructure, and handling the dynamics of transactive ...
• A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation 

  Saat, Parisa; Nogovitsyn, Nikita; Hassan, Muhammad Yusuf; Ganaie, Muhammad Athar; Souza, Roberto; Hemmati, Hadi (Frontiers Media, 2022-09)

  Accurate brain segmentation is critical for magnetic resonance imaging (MRI) analysis pipelines. Machine-learning-based brain MR image segmentation methods are among the state-of-the-art techniques for this task. Nevertheless, ...
• BEOL thermal resistance extraction in SiGe HBTs 

  Nidhin, K.; Balanethiram, Suresh; Nair, Deleep R.; D'Esposito, Rosario; Mohapatra, Nihar Ranjan; Fregonese, Sebastien; Zimmer, Thomas; Chakravorty, Anjan (Institute of Electrical and Electronics Engineers, 2022-12)

  A prior estimate of the impact of thermal resistance from the back-end-of-line (BEOL) metallization layers is crucial for an accurate circuit design and thermally aware device design. This article presents a robust technique ...
• Hybrid feedback active noise control headset based on binaural signal utilization 

  Patel, Vinal; Bhattacharjee, Sankha Subhra; Cheer, Jordan; George, Nithin V. (Elsevier, 2022-11)

  A standard feedback active noise control (FBANC) headset utilizes the estimate of a primary disturbance at the left-ear (right-ear) error microphone to control noise only at the left (right) ear-cup, i.e., each ear’s ...
• Sparse distortionless modal beamforming for spherical microphone arrays 

  Yadav, Shekhar Kumar; George, Nithin V. (Institute of Electrical and Electronics Engineers, 2022-09)

  Phase-mode array processing which utilizes the spherical harmonics decomposition offers a useful framework for spherical microphone arrays. In the modal domain, one of the major applications of spherical arrays is acoustic ...
• Strain minimization of InAs QDs heterostructures using dual quaternary-ternary/ternary-quaternary capping materials via digital alloy capping layer approach 

  Kumar, Ravindra; Saha, Jhuma; Chakrabarti, Subhananda (Institute of Electrical and Electronics Engineers, 2022-08)

  The role of combinational (ternary and quaternary) capping layers to understand the strain distribution mechanism and optical properties through digital alloy capping layer (DACL) has been presented in this work. GaAsSb ...
• Multiuser digital platform to promote interaction skill in individuals with autism 

  Krishnappa Babu, Pradeep Raj; Sinha, Sujata; Roshaan, Arvind S.; Lahiri, Uttama (Institute of Electrical and Electronics Engineers, 2022-12)

  Individuals with Autism Spectrum Disorder (ASD) face milestones in understanding other's preference and intentions that in turn affects their reciprocity and interaction skills during collaborative partnership. Investigators ...

View more