• Integrated approach for efficient adaptive underdetermined DOA estimation: coarray LMS with covariance matrix error removal 

  Joel, S.; Yadav, Shekhar Kumar; George, Nithin V. (Institute of Electrical and Electronics Engineers (IEEE), 2025-07)

  Underdetermined direction of arrival (U-DOA) estimation relies on the higher degrees of freedom provided by the difference coarray of a non-uniform linear array. The coarray domain signal is obtained by vectorizing the ...
• Comprehensive study of parasitic capacitance in CFETs: an analytical perspective 

  Singh, Aishwarya; Pal, Jaisingh; Maheshwari, Om; Mohapatra, Nihar Ranjan (Institute of Electrical and Electronics Engineers (IEEE), 2025-07)

  This work presents a comprehensive study on parasitic capacitance and its corresponding analytical model for complementary field-effect transistor (CFET) devices. The model accounts for various capacitance components, ...
• Sustainably engineered pollen-derived carbon dots for efficient multi metal-ion sensing 

  Singh, Parul; Kannan, Padma Priya; Sankaranarayanan, Subramanian; Saha, Jhuma (Elsevier, 2025-08)

  Carbon dots (CDs) derived from biomass have garnered considerable attention as an environmentally friendly alternative for metal ion detection. This study presents a novel approach for synthesizing CDs from natural pollen ...
• Fault tolerance of oscillatory neural network: device oscillator based small network to digital oscillator based large networks 

  Shubham, Sai; Myanapuri, Nikhilesh; Mohanty, Siddharth; Lashkare, Sandip (Institute of Electrical and Electronics Engineers (IEEE), 2025-06)

  Oscillatory Neural Networks (ONN) are inevitable when it comes to solving combinatorial optimization problems. ONNs are also extremely energy efficient for AI workloads compared to conventional Deep Neural Networks (DNNs). ...
• Smart hybrid energy management system for green microgrid with optimized energy and enhanced voltage stability 

  Chakraborty, Soham; Mehta, Pavan; Bharadwaj, Pallavi (Institute of Electrical and Electronics Engineers (IEEE), 2025-05)

  Energy management systems (EMSs) are an integral part of power networks with distributed energy resources (DERs) for optimized energy transactions. Conventional EMS performs rule-based actions for energy transactions between ...
• Adaptive body biasing technique based digital LDO regulator for transient response improvement 

  Tripathi, Kartikay Mani; Pathak, Madhav; Manhas, Sanjeev; Bulusu, Anand (Elsevier, 2025-10)

  This paper introduces an adaptive body biasing (ABB) technique for improving the transient response of the Digital Low-Dropout regulator (DLDO) during events of step increment in the load current demand. The proposed ABB ...
• Active learning for efficient nanophotonics inverse design in large and diverse design spaces 

  Singh, Sudhanshu; Kumar, Rahul; Singh, Praveen; Hegde, Ravi S. (Optica Publishing, 2025-05)

  The diverse range of shapes enabled by modern nanofabrication techniques makes it challenging to identify the most optimal design for a desired optical response. While deep learning-based approaches are being increasingly ...
• An active machine learning framework for automatic boxing punch recognition and classification using upper limb kinematics 

  Manoharan, Saravanan; Warburton, John; Hegde, Ravi S.; Srinivasan, Ranganathan; Srinivasan, Babji (Public Library of Science, 2025-05)

  Boxing punch type classification and kinematic analysis are essential for coaches and athletes, providing critical insights into punch variety and effectiveness, which are vital for performance improvement. Existing methods ...
• On-demand cueing sensitive to step variability: understanding its impact on gait of individuals with Parkinson's Disease 

  Pallavi, Priya; Raghuvanshi, Ankita; Kumar, Suhagiya Dharmik; Patel, Niravkumar; Kanetkar, Manasi; Chhatlani, Rahul; Rana, Manish; Betai, Sagar; Rajan, Roopa; Lahiri, Uttama (Institute of Electrical and Electronics Engineers (IEEE), 2025)

  Parkinson’s disease (PD) is characterized by gait disturbances with freezing of gait (FoG) being one of the most disabling symptoms. The FoG episode is often preceded by an increase in variability in Step Time. As the ...
• Chirp-coded subharmonic imaging with volterra filtering: histotripsy bubble cloud assessment in vitro and ex vivo 

  Trivedi, Vishwas; Basterrechea, Katia Flores; Bader, Kenneth B.; Shekhar, Himanshu (Institute of Electrical and Electronics Engineers (IEEE), 2025-05)

  Histotripsy is a non-invasive focused ultrasound therapy that liquifies tissue via bubble activity. Conventional ultrasound imaging is used in current clinical practice to monitor histotripsy. Developing surrogate imaging ...
• Adaptive direction of arrival estimation using sparsity constrained complex NLMS algorithm with variable penalty factor 

  Joel, S.; Karthik, Munukutla L. N. Srinivas; Yadav, Shekhar Kumar; George, Nithin V. (Institute of Electrical and Electronics Engineers (IEEE), 2025-03)

  Direction of arrival (DOA) estimation using sensor arrays is a challenging task in noisy environments, especially when rapid convergence and efficient utilization of array elements are required. Addressing these challenges, ...
• Incentive-based demand response program with phase unbalance mitigation: a bilevel approach 

  Tiwari, Abhishek; Jha, Bablesh Kumar; Pindoriya, Naran M. (Science and Education Publishing, 2025-06)

  This article proposes an adaptable incentive framework for an incentive-based demand response (IBDR) program. The framework is based on changes in demand from end-consumers using the bilevel approach to optimize the ...
• Multi-phase unbalanced AC-DC distribution system state estimation with benders decomposition 

  Bhattar, Poornachandratejasvi Laxman; Pindoriya, Naran M.; Sharma, Anurag (Elsevier, 2025-07)

  State estimation for distribution system is an essential tool for monitoring and control operations such as energy management, Volt-VAR optimization, and load management. Therefore, the distribution system needs an effective ...
• Enhancing passive cavitation imaging using pth root compression delay, sum, and integrate beamforming: in vitro and in vivo studies 

  Singh, Abhinav Kumar; Warbal, Pankaj; Basterrechea, Katia Flores; Bader, Kenneth B.; Shekhar, Himanshu (Institute of Electrical and Electronics Engineers (IEEE), 2025-07)

  Objective: Passive cavitation imaging (PCI) derived metrics can serve as surrogates for the outcome of bubble-mediated therapies. Passive cavitation imaging is limited by poor axial resolution and side lobe artifacts, ...
• Optimized design coordination of a single phase static VAr compensator for AC railway traction 

  Chakraborty, Soham; Maiti, Dipten; Mukhopadhyay, Susovan; Chakrabarti, Abanishwar; Biswas, Sujit K. (Elsevier, 2025-06)

  Static VAr Compensators are widely used in single-phase railway-traction for variable reactive-power compensation and voltage support. This paper proposes an offline-optimized design of a single-phase static VAr compensator ...
• Type-II band-alignment in vertical transition metal-di-chalcogenide heterostructures for near infrared and visible light detection 

  Kharadi, Mubashir A.; Agarwal, Tarun; Mahariq, Ibrahim; Saha, Jhuma (IOP Publishing, 2025-03)

  In this work, group-6 and group-7 (ReSe2) transition metal-di-chalcogenide (TMD) heterostructures are studied systematically using density functional theory (DFT). Different combinations of ReSe2 and group-6 TMDs are ...
• Identification of anatomical locations: its relevance for vibrotactile perception of individuals with Parkinson's disease 

  Raghuvanshi, Ankita; Pallavi, Priya; Chhatlani, Rahul; Parmar, Jayesh; Rana, Manish; Betai, Sagar; Lahiri, Uttama (BioMed Central, 2025-02)

  Background Vibrotactile input is a useful sensory cue for individuals with Parkinson's Disease (PD) to overcome freezing of gait (FoG). For this input to serve as a cue, its accurate perception is required. This needs the ...
• Rapid multi-objective antenna synthesis via deep neural network surrogate-driven evolutionary optimization 

  Singh, Praveen; Panda, Soumyashree S.; Dash, Jogesh C.; Riscob, Bright; Pathak, Surya K.; Hegde, Ravi S. (Institute of Electrical and Electronics Engineers (IEEE), 2025)

  Antenna synthesis is becoming increasingly challenging with tight requirements for C-SWAP (cost, size, weight and power) reduction while maintaining stringent electromagnetic performance specifications. While machine ...
• A scalable Physics-based compact model for terminal charge, intrinsic capacitance and drain current in nanosheet field effect transistors 

  Singh, Aishwarya; Ganeriwala, Mohit D.; Joglekar, Radhika; Mohapatra, Nihar Ranjan (Institute of Electrical and Electronics Engineers (IEEE), 2025-02)

  This study introduces a physics-based, SPICE-compatible model for Nanosheet Field-Effect Transistors (NsFETs) that offers explicit expressions for the drain current, terminal charges, and intrinsic capacitances applicable ...
• Data-driven modeling of Li-ion battery based on the manufacturer specifications and laboratory measurements 

  Fonso, Roberta Di; Cecati, Carlo; Teodorescu, Remus; Stroe, Daniel-Ioan; Bharadwaj, Pallavi (Institute of Electrical and Electronics Engineers (IEEE), 2025-03)

  Accurate modeling of Lithium-ion battery is essential in the development and testing of state estimation and lifetime prediction algorithms. The desired features of the model include flexibility, fast development, accuracy ...

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