BTech students with strong record are welcome to apply as intern or complete their final year thesis in our lab. Following are the papers where an intern (including IITH/IITR BTech student) is a co-author (the full publication list is here: http://publicationslist.org/sparsh0mittal). This record clearly shows that internship at our lab can be very productive for the interns and also that we have got very talented interns so far. Publishing papers can help the interns in getting admissions at top-colleges for higher studies.
Matt Poremba and Rujia Wang were my PhD interns in ORNL (USA). Here are the BTech interns in India: SB Abhinaya (NITT), Manish Reddy (IITH), Irfan (IITH), Shreyas (BITS, Hyd), Sumanth (IITJ), Shraiysh (IITH), Sarthak Narayan (NITT), Himanshi (NITT), Sai Harsh (IITH), Kakul (AMU), Srishti (IIT Dharwad), Yash Khandelwal (BITS), Saksham Sharma (IITR), Vishu Saxena (IITR), Yash Jain (IITR), Yash Khare (Amrita Vishwavidyapeetham), Kumud Lakara (Manipal Inst of Tech), Phani Jayanth (IITM), Atharva (SRCOEM), Gayatri and Onkar (VIIT, Pune), Dhruv Makwana, Ananya Mantravadi (IIIT Raichur), Chirag (DTU), Jishu Sengupta (IIT BHU), Tushir Sahu (IIITDM Jabalpur), Divya Aggarwal (IITR).
Divya Aggarwal, R Sai Chandra Teja, Sparsh Mittal (2024) A Stacking Ensemble Technique to Predict Speed and Distance in 4G and 5G Communication Datasets In: IEEE International Symposium on Smart Electronic Systems (IEEE – iSES) New Delhi, India
Vibhu, Shivang Bhargav, Vivek Kumar, Sparsh Mittal (2024) Machine Learning Based Algorithm for Shockley-Read-Hall Recombination and Augur Recombination Predictions In: IEEE International Symposium on Smart Electronic Systems (IEEE – iSES) Delhi, India:
Onkar Susladkar, Gayatri Deshmukh, Vandan Gorade, Sparsh Mittal (2024) GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization In: The 2024 Conference on Empirical Methods in Natural Language Processing (Core A* rank) USA
Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagchi (2024) Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation In: IEEE International Symposium on Biomedical Imaging (ISBI) Greece
Tushir Sahu, Vidhi Bhatt, Sparsh Mittal, R Sai Chandra Teja, S Nagesh Kumar (2024) SPEEDNet: Salient Pyramidal Enhancement Encoder-Decoder Network for Colonoscopy Images In: IEEE International Symposium on Smart Electronic Systems (IEEE – iSES) Delhi, India
Onkar Susladkar, Gayatri Deshmukh, Sparsh Mittal, Parth Shastri (2024) D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods In: International Conference on Pattern Recognition (ICPR) Kolkata, India
Vandan Gorade, Sparsh Mittal, Debesh Jha, Rekha Singhal, Ulas Bagci (2024) Harmonized Spatial and Spectral Learning for Generalized Medical Image Segmentation In: International Conference on Pattern Recognition (ICPR) Kolkata, India
Ananya Mantravadi, Siddharth Saini, R Sai Chandra Teja, Sparsh Mittal, Shrimay Shah, R Sri Devi, Rekha Singhal (2024) CLINet: A Novel Deep Learning Network for ECG Signal Classification Journal of Electrocardiology (impact factor 1.3).
Yash Jain and Vishu Saxena, advised by Dr Sparsh for BTech project, have won the best BTech project in ECE Department.
Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagchi (2024) SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Core A Rank Conference) USA: .
Gayatri Deshmukh, Onkar Susladkar, Dhruv Makwana, Sparsh Mittal, R Sai Chandra Teja (2024) Textual Alchemy: CoFormer for Scene Text Understanding In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Core A Rank Conference).
Dhruv Makwana, Gayatri Deshmukh, Onkar Susladkar, Sparsh Mittal, R Sai Chandra Teja (2024) LIVENet: A novel network for real-world low-light image denoising and enhancement In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Core A Rank Conference) USA:
Vishu Saxena, Yash Jain, Sparsh Mittal (2023) Machine Learning and Polynomial Chaos models for Accurate Prediction of SET Pulse Current In: IEEE Computer Society Annual Symposium on VLSI, Brazil.
Onkar Susladkar, Dhruv Makwana, Gayatri Deshmukh, Sparsh Mittal, R Sai Chandra Teja, Rekha Singhal (2023) TPFNet: A Novel Text In-painting Transformer for Text Removal In: IEEE International Conference on Document Analysis and Recognition (ICDAR) (Core A rank conference) USA
Vishesh Mishra, Sparsh Mittal, Neelofar Hassan, Urbi Chatterjee, Rekha Singhal (2023) VADF: Versatile Approximate Data Formats for Energy-Efficient Computing In: Under submission.
Vandan Gorade, Sparsh Mittal, Rekha Singhal, "PaCL: Patient-aware Contrastive Learning Through Metadata Refinement", Computers in Biology and Medicine (Impact factor 7.7)
Dhruv Makwana, Ananya Mantravadi, R Sai Chandra Teja, Sparsh Mittal, Rekha Singhal, "Dilated Involutional Pyramid Network (DInPNet): A Novel Model for Printed Circuit Board (PCB) Components Classification", ISQED, 2023
Vishesh Mishra, Sparsh Mittal, Rekha Singhal, Manoj Nambiar (2023) Novel, Configurable Approximate Floating-point Multipliers for Error-Resilient Applications In: ISQED, 2023.
Onkar Susladkar, Gayatri Deshmukh, Dhruv Makwana, Sparsh Mittal, R Sai Chandra Teja, Rekha Singhal (2023) GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream tasks In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA (Core A rank conference).
Vishu Saxena, Yash Jain, Sparsh Mittal (2022) Ensembling Deep Learning And CIELAB Color Space Model for Fire Detection from UAV images In: AIMLSystems 2022, Bengaluru, India.
Subhrajit Nag, Dhruv Makwana, R Sai Chandra Teja, Sparsh Mittal, C Krishna Mohan (2022) WaferSegClassNet - A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects Computers in industry (IF 11.245) 142: 103720 November.
Onkar Susladkar, Gayatri Deshmukh, R Sai Chandra Teja, Sparsh Mittal, Rekha Singhal (2022) LiBERTy: A Novel Model for Natural Language Understanding, AIMLSystems 2023
Onkar Susladkar, Gayatri Deshmukh, Subhrajit Nag, Ananya Mantravadi, Dhruv Makwana, Sujitha Ravichandran, R Sai Chandra Teja, Gajanan H Chavhan, C Krishna Mohan, Sparsh Mittal (2022) ClarifyNet: A High-Pass and Low-Pass Filtering Based CNN for Single Image Dehazing, Journal of Systems Architecture (IF 5.8).
Vishesh Mishra, Sparsh Mittal, Saurabh Singh, Divy Pandey and Rekha Singhal, "MEGA-MAC: A Merged Accumulation based Approximate MAC Unit for Error Resilient Applications", GLSVLSI, 2022
Kumud Lakara, Yash Khare, Sparsh Mittal, Arvind Kaushik, Rekha Singhal, "SpotOn: A Gradient-based Targeted Data Poisoning Attack on Deep Neural Networks", ISQED, 2023
Dhruv Makwana, Subhrajit Nag, Onkar Susladkar, Gayatri Deshmukh, Sai Chandra Teja R, Sparsh Mittal, C Krishna Mohan, "ACLNet: An Attention and Clustering-based Light-weight Cloud Segmentation Network", Remote Sensing Letters (IF 2.583), 2022.
Gayatri Deshmukh, Onkar Susladkar, Dhruv Makwana, Sai Chandra Teja R, Nagesh Kumar S, Sparsh Mittal, "FEEDNet: A Feature Enhanced Encoder-Decoder LSTM Network for Nuclei Segmentation for Histopathological Diagnosis", Physics in Medicine and Biology (Impact factor 4.174), 2022
Yash Khare, Kumud Lakara, Maruthi S Inukonda, Sparsh Mittal, Mahesh Chandra, Arvind Kaushik (2021) Design and Analysis of Novel Bit-flip Attacks and Defense Strategies for DNNs, 5th IEEE Conference on Dependable and Secure Computing (DSC) (Acceptance rate 28%) Edinburgh, UK .
Kumud Lakara (UG intern in our lab, studying at Manipal Institute of Technology) was selected as one of the best interns by the SPARK committee (IIT Roorkee) in year 2021.
Subhrajit Nag, Yash Khandelwal, Sparsh Mittal, C Krishna Mohan, Alex Kai Qin, "ARCN: A Real-time Attention-based Network for Crowd Counting from Drone Images", IEEE INDICON, 2021
Saksham Sharma, Vanshika V Bhargava, Aditya Singh, Kshitij Bhardwaj, Sparsh Mittal (2021) Leveraging Prediction Confidence For Versatile Optimizations to CNNs In: ACM International Conference on AI-ML Systems (AIMLSystems), Bengaluru, India.
Sparsh Mittal, Srishti Srivastava, J Phani Jayanth, A Survey of Deep Learning Techniques for Underwater Image Classification, IEEE TNNLS (Impact Factor 14.255)
Maruthi S Inukonda, Atharva R Karpate, Bheemarjuna Reddy Tamma, Sparsh Mittal, Praveen Tammana (2022) NASCENT: A Non-invasive Solution for Detecting Utilization of Servers in Bare-metal Cloud, IEEE Access (Impact Factor 3.367)
Sparsh Mittal, Himanshi Gupta, Srishti Srivastava, A Survey on Hardware Security of DNN Architectures and Accelerators, Journal of Systems Architecture (Impact factor 3.77), 2021
Srishti Srivastava, Sarthak Narayan, Sparsh Mittal, A Survey of Deep Learning Techniques for Vehicle Detection from UAV Images, Journal of Systems Architecture (Impact factor 3.77), 2021
Sparsh Mittal, Sumanth Umesh (2020) A Survey on Hardware Accelerators and Optimization Techniques for RNNs, Journal of Systems Architecture (Impact factor 2.55), 2021
Sumanth Umesh, Sparsh Mittal (2020) A Survey of Techniques for Intermittent Computing, Journal of Systems Architecture (Impact factor 2.55), 2021
Poonam Rajput, Sparsh Mittal, Sarthak Narayan (2020) Improving Accuracy and Efficiency of Object Detection Algorithms using Multiscale Feature Aggregation Plugins In: IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR) Winterthur, Switzerland
Nandan Kumar Jha, Shreyas Ravishankar, Sparsh Mittal, Arvind Kaushik, Dipan Mandal, Mahesh Chandra (2020) DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator In: IEEE Computer Society Annual Symposium on VLSI (ISVLSI) CYPRUS: .
Sparsh Mittal, Shraiysh Vaishay (2019) A Survey of Techniques for Optimizing Deep Learning on GPUs Journal of Systems Architecture (impact factor 1.16) 99: 101635.
[Technical report] Kakul Shrivastava, Maruthi Inukonda, Sparsh Mittal (2019) Hardware-Software Stack for an RC car for testing autonomous driving algorithms IIT Hyderabad 2019-CSE-CANDLE-01.
[Technical report] Maruthi S Inukonda, Sparsh Mittal, Sai Harsh Kottapalli (2019) A Solution Architecture of Bare-metal As A Service Cloud using Open-source Tools IIT Hyderabad 2019-CSE-CANDLE-02.
Sumanth Umesh, Sparsh Mittal (2019) A Survey of Spintronic Architectures for Processing-in-Memory and Neural Networks Journal of Systems Architecture (impact factor 0.91) 97: 349-372 August.
Sparsh Mittal, S B Abhinaya, Manish Reddy, Irfan Ali (2018) A Survey of Techniques for Improving Security of GPUs Hardware and Systems Security Journal 2: 3. 266-285.
Sparsh Mittal, Rujia Wang, Jeffrey Vetter (2017) DESTINY: A Comprehensive Tool with 3D and Multi-level Cell Memory Modeling Capability Journal of Low Power Electronics and Applications 7: 3. 23.
Rujia Wang, Sparsh Mittal, Youtao Zhang, Jun Yang (2017) Decongest: Accelerating Super-Dense PCM under Write Disturbance by Hot Page Remapping IEEE Computer Architecture Letters (CAL) (impact factor 0.465) (Wang and Mittal are co first-authors) 16: 2. 107-110 Jul-Dec.
Matthew Poremba, Sparsh Mittal, Dong Li, Jeffrey S Vetter, Yuan Xie (2015) DESTINY: A Tool for Modeling Emerging 3D NVM and eDRAM caches In: Design Automation and Test in Europe (Poremba and Mittal are co first-authors) 1543 - 1546 IEEE.