Faculty

Institution

Unit

Venue

Ishan Thakkar

Assistant Professor

University of Kentucky

Affiliations

Stanley and Karen Pigman College of Engineering

Electrical & Computer Engineering

Ishan Thakkar is currently serving as an Electrical & Computer Engineering Assistant Professor at University of Kentucky.

Honors

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Experiences

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Education

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Ishan Thakkar

University of Kentucky

Assistant Professor

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photonics systems engineering electrical engineering computer science optoelectronics materials science deep learning machine learning scientific computing electronics optical computing hardware acceleration convolutional neural networks accelerator technology photonic noc architectures photonic nocs microelectronics computer vision computer-aided design memory architectures computer security thermal engineering accelerator physics ubiquitous computing reliability engineering power electronics data security reliability management circuit design electronic engineering 3d computer vision photonic devices interconnection networks secure computing symmetric write latency photonic interconnects process variations efficient inference panel discussion vlsi technology distributed systems intelligent computing design automation luminescence biomedical imaging microwave technology mathematical optimization high performance computer architecture thermal management vlsi design laser science electronic design electronic memory power-efficient computing distributed computing gpu computing dna computing equipment design advanced design hardware architecture test case design semiconductor technology reconfigurable architectures reservoir computing photoluminescence chip on board lab-on-a-chip heterodyne crosstalk mitigation homodyne crosstalk noise restorable endurance voltage bias manycore computing energy-efficient technique refresh overhead approximate communication loss-aware approximations microarchitecture computer engineering programmable photonics

Notable Scholarly Works

Notable Federal Grants

Collaborators

HEANA: A Hybrid Time-Amplitude Analog Optical Accelerator With Flexible Dataflows for Energy-Efficient CNN Inference. ACM Transactions on Design Automation of Electronic Systems (2025)

Sairam Sri VatsavaiVenkata Sai Praneeth KarempudiIshan Thakkar

machine learningneural network (machine learning)convolutional neural networkscomputer visionaccelerator technologydeep learningflexible dataflowsapplied mathematicscomputer scienceenergy-efficient cnn inference

A Comparative Analysis of Microrings Based Incoherent Photonic Gemm Accelerators. (2024)

Sairam Sri VatsavaiVenkata Sai Praneeth KarempudiOluwaseun Adewunmi AloIshan Thakkar

materials scienceaccelerator physicsaccelerator technologyphotonics

A Hybrid Time-Amplitude Analog Mac Circuit With Silicon Nitride Electro-Photonics. (2024)

Venkata Sai Praneeth KarempudiIshan G ThakkarJustin WoodsJeffrey Todd Hastings

computer engineeringmedium access controlintegrated circuitsanalog designelectronicselectrical engineeringmicroelectronicssilicon nitride electro-photonicsoptoelectronics

A Low-Dissipation and Scalable Gemm Accelerator With Silicon Nitride Photonics. (2024)

Venkata Sai Praneeth KarempudiSairam Sri VatsavaiIshan ThakkarOluwaseun Adewunmi AloJeffrey Todd HastingsJustin Scott Woods

silicon nitride photonicsaccelerator technologyapplied physicsaccelerator physicsphotonics

An Electro-Photonic Unary Multiply-Accumulate (Mac) Circuit. (2024)

Sairam Sri VatsavaiVenkata Sai Praneeth KarempudiIshan G Thakkar

photonic devicesphotonic integrated circuitsintegrated circuitselectronicselectro-photonic unary multiply-accumulateelectrical engineeringlightwave technologyoptoelectronics

ARTEMIS: A Mixed Analog-Stochastic In-Dram Accelerator for Transformer Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2024)

Salma AfifiIshan ThakkarSudeep Pasricha

systems engineeringcomputer-aided designcomputer engineeringintegrated circuitscomputer designelectronicstransformer neural networks

Scaling Analog Photonic Accelerators for Byte-Size, Integer General Matrix Multiply (Gemm) Kernels. arXiv (Cornell University) (2024)

Oluwaseun Adewunmi AloSairam Sri VatsavaiIshan Thakkar

analog photonic acceleratorsaccelerator technologyapplied mathematicsoptical computingphotonics

STAR: A Mixed Analog Stochastic In-Dram Convolutional Neural Network Accelerator. IEEE Design and Test (2024)

Salma AfifiIshan ThakkarSudeep Pasricha

systems engineeringneural network (machine learning)convolutional neural networksrecurrent neural networkscomputer engineeringcomputational neurosciencehardware accelerationdeep learningneural computationhigh performance computer architecturemachine learning researchemerging memory technologiesmachine learningsparse neural networkcomputer science

A Bit-Parallel Deterministic Stochastic Multiplier. (2023)

Sairam Sri VatsavaiIshan Thakkar

parallel processingstochastic optimizationmathematical optimizationparallel learningparallel computingformal methodselectrical engineeringapplied mathematicsengineering

AGNI: In-Situ, Iso-Latency Stochastic-To-Binary Number Conversion for In-Dram Deep Learning. (2023)

Supreeth Mysore ShivanandamurthySairam Sri VatsavaiIshan ThakkarSayed Ahmad Salehi

machine learningin-dram deep learningdeep learninglow latencycomputer science

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Ishan Thakkar

Assistant Professor

University of Kentucky

Affiliations

Stanley and Karen Pigman College of Engineering

Electrical & Computer Engineering

Ishan Thakkar is currently serving as an Electrical & Computer Engineering Assistant Professor at University of Kentucky.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ishan Thakkar

University of Kentucky

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

HEANA: A Hybrid Time-Amplitude Analog Optical Accelerator With Flexible Dataflows for Energy-Efficient CNN Inference. ACM Transactions on Design Automation of Electronic Systems (2025)

Sairam Sri VatsavaiVenkata Sai Praneeth KarempudiIshan Thakkar

A Comparative Analysis of Microrings Based Incoherent Photonic Gemm Accelerators. (2024)

Sairam Sri VatsavaiVenkata Sai Praneeth KarempudiOluwaseun Adewunmi AloIshan Thakkar

materials scienceaccelerator physicsaccelerator technologyphotonics

A Hybrid Time-Amplitude Analog Mac Circuit With Silicon Nitride Electro-Photonics. (2024)

Venkata Sai Praneeth KarempudiIshan G ThakkarJustin WoodsJeffrey Todd Hastings

computer engineeringmedium access controlintegrated circuitsanalog designelectronicselectrical engineeringmicroelectronicssilicon nitride electro-photonicsoptoelectronics

A Low-Dissipation and Scalable Gemm Accelerator With Silicon Nitride Photonics. (2024)

Venkata Sai Praneeth KarempudiSairam Sri VatsavaiIshan ThakkarOluwaseun Adewunmi AloJeffrey Todd HastingsJustin Scott Woods

silicon nitride photonicsaccelerator technologyapplied physicsaccelerator physicsphotonics

An Electro-Photonic Unary Multiply-Accumulate (Mac) Circuit. (2024)

Sairam Sri VatsavaiVenkata Sai Praneeth KarempudiIshan G Thakkar

photonic devicesphotonic integrated circuitsintegrated circuitselectronicselectro-photonic unary multiply-accumulateelectrical engineeringlightwave technologyoptoelectronics

ARTEMIS: A Mixed Analog-Stochastic In-Dram Accelerator for Transformer Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2024)

Salma AfifiIshan ThakkarSudeep Pasricha

systems engineeringcomputer-aided designcomputer engineeringintegrated circuitscomputer designelectronicstransformer neural networks

Scaling Analog Photonic Accelerators for Byte-Size, Integer General Matrix Multiply (Gemm) Kernels. arXiv (Cornell University) (2024)

Oluwaseun Adewunmi AloSairam Sri VatsavaiIshan Thakkar

analog photonic acceleratorsaccelerator technologyapplied mathematicsoptical computingphotonics

STAR: A Mixed Analog Stochastic In-Dram Convolutional Neural Network Accelerator. IEEE Design and Test (2024)

Salma AfifiIshan ThakkarSudeep Pasricha

A Bit-Parallel Deterministic Stochastic Multiplier. (2023)

Sairam Sri VatsavaiIshan Thakkar

parallel processingstochastic optimizationmathematical optimizationparallel learningparallel computingformal methodselectrical engineeringapplied mathematicsengineering

AGNI: In-Situ, Iso-Latency Stochastic-To-Binary Number Conversion for In-Dram Deep Learning. (2023)

Supreeth Mysore ShivanandamurthySairam Sri VatsavaiIshan ThakkarSayed Ahmad Salehi

machine learningin-dram deep learningdeep learninglow latencycomputer science

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Shaahin Angizi

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New Jersey Institute of Technology

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Amit Ranjan Trivedi

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University of Illinois Chicago

industrial artificial intelligence

ai architecture

Michael Niemier

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Arman Roohi

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Houman Homayoun

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University of California, Davis

cryptographic hardware

trusted execution environment

Hamed Dalir

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Alex K. Jones

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Syracuse University

computer engineering

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nanoelectronics

computer engineering

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