• Deep learning approach for inverse design of metasurfaces with a wider shape gamut 

  Panda, Soumyashree S.; Choudhary, Sumit; Joshi, Siddharth; Sharma, Satinder K.; Hegde, Ravi S. (Optica, 2022-05)

  While the large design degrees of freedom (DOFs) give metasurfaces a tremendous versatility, they make the inverse design challenging. Metasurface designers mostly rely on simple shapes and ordered placements, which restricts ...
• DeepHS-HDRVideo: deep high speed high dynamic range video reconstruction 

  Khan, Zeeshan; Shettiwar, Parth; Khanna, Mukul; Raman, Shanmuganathan (21-08-22)
• Gaze-based anxiety sensitive virtual social communication platform for individuals with autism 

  Krishnappa Babu, Pradeep Raj; Lahiri, Uttama (29-04-22)
• Coarray manifold separation in the spherical harmonics domain for enhanced source localization 

  Yadav, Shekhar Kumar; George, Nithin V. (22-05-22)
• DMD-Net: deep mesh denoising network 

  Gangopadhyay, Aalok; Verma, Shashikant; Raman, Shanmuganathan (21-08-22)
• Shuffle block: shuffle to regularize convolutional neural networks 

  Kumawat, Sudhakar; Kanojia, Gagan; Raman, Shanmuganathan (24-05-22)
• APEX-net: automatic plot extraction network 

  Gangopadhyay, Aalok; Singh, Prajwal Kumar; Raman, Shanmuganathan (24-05-22)
• Detection of ultrasound up to 10 MHz frequency using an FBG sensor 

  Jajoria, Kuldeep; Jha, Chandan Kumar; Chakraborty, Arup Lal; Shekhar, Himanshu (04-03-22)
• Portable joint attention skill training platform for children with autism 

  Jyoti, Vishav; Lahiri, Uttama (Institute of Electrical and Electronics Engineers, 2022-04)

  Children with autism are characterized by milestones in Joint Attention (JA) skill. They fail to understand the directional cue issued by a partner (during social communication), which often results in them reciprocating ...
• A fibre bragg grating sensor-based instrumented glove for virtual rehabilitation applications 

  Jha, Chandan Kumar; Chakraborty, Arup Lal (06-03-22)
• Implication of pathway turn and task condition on gait quantified using smartwalk: changes with age and parkinson's disease with relevance to postural strategy and risk of fall 

  Pallavi, Priya; Jariwala, Neeti; Patel, Niravkumar; Kanetkar, Manasi; Diwan, Shraddha; Lahiri, Uttama (Frontiers Media, 2022-03)

  One's gait can be affected by ageing, pathway with turns, task demands, etc. causing changes in gait-related indices and knee flexion (influencing posture). Walking on pathway with turns threatens stability, affecting one's ...
• Smart wearable device for quantification of risk of fall: exploring role of gait phases and knee bending angle for parkinson's patients 

  Pallavi, Priya; Ranjan, Shashi; Patel, Niravkumar; Kanetkar, Manasi; Lahiri, Uttama (11-07-22)
• Portable electromyogram-sensitive system for assessment of fear of fall: relevance of gait phases for post-stroke patients 

  Ranjan, Shashi; Pallavi, Priya; Lahiri, Uttama (11-07-22)
• Zigzag phosphorene antidot nanoribbons (ZPANRs) for the detection of nucleobases: a DFT based study 

  Carmel, Santhia; Subramanian, Sriram; Tan, Michael Loong Peng; Alias, Nurul Ezaila; Riyadi, Munawar Agus; Endro Suseno, Jatmiko; Rathinam, Ramesh; Bhattacharyya, Arkaprava (American Institute of Physics, 2022-04)

  In this work, we have investigated the potential of zigzag phosphorene antidot nanoribbons (ZPANRs) for biosensing applications. ZPANRs were created from the optimized structures of phosphorene nanoribbons by using a density ...
• Fault tolerance and noise immunity in freespace diffractive optical neural networks 

  Panda, Soumyashree S.; Hegde, Ravi S. (IOP Publishing, 2022-03)

  Free-space diffractive optical networks are a class of trainable optical media that are currently being explored as a novel hardware platform for neural engines. The training phase of such systems is usually performed in ...
• A 10T, 0.22fJ/bit/search mixed-VT pseudo precharge-free content addressable memory 

  Datta, Diptesh; Surana, Neelam; Kumar, Anoop; Mekie, Joycee (Institute of Electrical and Electronics Engineers, 2022-03)

  Content Addressable Memories (CAMs) are high-speed hardware search engines that simultaneously perform a parallel search across the rows. This high speed comes at the cost of increased power. In CAMs, most of the power is ...
• A fiber bragg grating-based sensor for passive cavitation detection at MHz frequencies 

  Jha, Chandan Kumar; Jajoria, Kuldeep; Chakraborty, Arup Lal; Shekhar, Himanshu (Institute of Electrical and Electronics Engineers, 2022-03)

  Fiber Bragg gratings (FBGs) are a potential alternative to piezoelectric ultrasound sensors for applications that demand high sensitivity and immunity to electromagnetic interference. However, limited data exist on the ...
• Impact of brute force based false data injection attack on distribution system state estimation 

  Bhattar, Poornachandratejasvi Laxman; Pindoriya, Naran M.; Sharma, Anurag (07-12-21)
• Automated demand response in smart distribution grid: a review on metering Infrastructure, communication technology and optimization models 

  Tiwari, Abhishek; Pindoriya, Naran M. (Elsevier, 2022-05)

  Advancement in Information and Communication Technology (ICT), automation and control provide an promising opportunity to implement the Demand Response (DR) program in smart distribution grid. With the proactive participation ...
• Multi-objective optimization based automated demand response model in smart distribution grid 

  Sharma, Priyanka; Tiwari, Abhishek; Pindoriya, Naran M. (16-12-21)

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