I, Dr. Babita Jajodia, am an Assistant Professor in the Department of Electronics and Communications Engineering (ECE) at the Indian Institute of Information Technology Guwahati (IIITG) working from July 2019. Prior to that, I received the Ph.D. degree in VLSI Design from the Indian Institute of Technology Guwahati (IITG). Following that I worked at the Gauhati University Institute of Science and Technology (GUIST) as a guest faculty. My research interests are on VLSI Design for Digital/Analog/Mixed-Signal Systems and Quantum Computing.
EDUCATION
Mixed-Signal VLSI Design (PhD) from Indian Institute of Technology Guwahati
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Hardware and Architecture
Interpretable machine learning for diabetes risk prediction: a large-scale analysis of Indian national survey data Bhavana Barman, Hari K. Choudhury, Babita Jajodia Discover Public Health, 2025 Background Diabetes is a growing public-health challenge in India, and most Machine Learning (ML) studies use small, clinical datasets with limited interpretability. There remains a gap in applying interpretable ML models to nationally representative data to form policy measures. Objective To develop and interpret ML models for diabetes risk prediction using NFHS-5 dataset, and to validate model-derived risk factors with a traditional regression approach. Methods The study used tree-based ML models to train NFHS-5 data, and analysed 1,087,006 respondents’ data for diabetes prevalence. Based on the existing literature, various features or factors such as socio-demographic, behavioural, and anthropometric variables are included in the estimated models. Also, systematic hyperparameter tuning was performed for optimization. Results Random Forest model performed better in comparison with other alternative models. The SHAP analysis identified age, hypertension, and arm circumference as the major contributors of diabetes prediction. The wealth index and urban residence also contribute significantly to the prediction of diabetes. The estimated logistic regression coefficients and AUC values aligned with the directions and magnitude of the SHAP analysis. Conclusion Interpretable ML on nationally representative survey data yields transparent risk profiles for diabetes, linking socio-economic and clinical factors. Policy-relevant actions include maintaining the screening age of 30 years and prioritizing older/high-risk adults, integrating diabetes checks into hypertension programs, and using arm circumference as a community triage tool. These findings support scalable and data-driven primary-care strategies in India.
Area and Delay Trade-Offs in Three-Way Toom-Cook Large Integer Multipliers Implemented on FPGAs Monalisa Das, Babita Jajodia IEEE Transactions on Circuits and Systems I Regular Papers, 2025 The demand for efficient large integer polynomial multiplications in present day crypto-systems is the need of the hour. Toom-Cook multiplication algorithm being one of the most efficient multiplication algorithm is discussed in this work. The limitations of large integer polynomial multiplications using three-way Toom-Cook (Toom-3) multiplication algorithm and the methods to overcome it are presented in this paper. This is done by implementing two different division-free methods for symmetric Toom-3 multiplication as well as for asymmetric Toom-3 multiplication based on the input operand size (N). Hardware implementations of the proposed multiplication methods are done using Virtex-7 Field Programmable Gate Array (FPGA) device in Xilinx ISE platform. The trade-off between hardware utilization and speed is noted, and the overall performance of the proposed design methods are measured by calculating Area-Time-Product (ATP). Practically, it has been observed that both the proposed Toom-3 multiplication methods performs better compared to the existing state-of-the-art designs.
Floating Point Multipliers on FPGAs Uttam Singh, Rahul Mundliya, Raushan Maharana, Babita Jajodia Proceedings of 6th International Conference on 2025 Devices for Integrated Circuit Devic 2025, 2025 This work presents IEEE 754 compliant floatingpoint multipliers for various formats: Half Precision (HP), Single Precision (SP), Double Precision (DP), Double Extended Precision (DEP), and Quadruple Precision (QP), with bit lengths of 16, 32, 64, 80, and 128 bits, respectively, implemented on Field Programmable Gate Arrays (FPGAs). The study explores different mantissa multipliers – Optimized Schoolbook Multiplier (OBSM), Hybrid Karatsuba Multiplier (HKM) and Hybrid Recursive Karatsuba Multiplier (HRKM) – to identify the most efficient mantissa multipliers that comply with the IEEE 754 standard and are suitable for floating-point multipliers. Hardware implementations show that the proposed HRKM-based SP and DP floating-point multipliers show a better Area-Time-Product (ATP) performance of 79. 599% and 83. 901%, respectively, in comparison to the latest state-of-the-art work on the AMD Kintex Ultrascale KCU105 FPGA platform.
Hybrid quantum-classical solution for automated labeling and validation Jitesh Lalwani, Dana Linnet, Muthumanimaran Vetrivelan, Kadiyam Hari Venkat, Riyaaz Shaik, et al. Proceedings of SPIE the International Society for Optical Engineering, 2025 This paper presents a novel hybrid quantum-classical solution for automating the labeling of hyperspectral data, a critical challenge in dual-use applications across both the civilian and defense sectors. Hyperspectral imaging (HSI) offers unparalleled detail by capturing a wide range of wavelengths, making it invaluable for material identification, environmental monitoring, and intelligence operations. However, the complex and high-dimensional nature of hyperspectral data typically requires manual labeling, a time-consuming and error-prone process. The proposed hybrid solution leverages Quantum Machine Learning (QML), specifically Quantum Support Vector Machines (QSVM), in conjunction with classical statistical techniques to efficiently autolabel hyperspectral data with high accuracy. This research highlights the broad potential of quantum computing to revolutionize data processing for national security, particularly in detecting hidden or camouflaged objects in complex environments. The authors tested the proposed algorithm on IBM quantum hardware and the results are promising. Data validation has been carried out on IBM Brisbane hardware and achieved a classification score of 90%.
Approximate Modular Multipliers for R-LWE Cryptosystems on FPGAs and ASICs Sahil Maurya, Babita Jajodia 2024 IEEE Silchar Subsection Conference Silcon 2024, 2024 This work presents an approximate modular multiplier, termed as AxMM, which includes approximate multiplier (AxMult) and approximate modular reduction (AxMR) using approximate computing (AxC) technique for Ring Learning-with Errors (R-LWE) cryptosystems. This design basically focusses on an area-efficient and power-efficient modular multiplier for R-LWE, a Public Key Encryption (PKE) scheme in Lattice-based Cryptography (LBC), faces challenges in modular polynomial multiplication, particularly for resource-constrained embedded IoT devices. Hardware implementations of the proposed AxMM are done using Virtex-7 Field Programmable Gate Array (FPGA) device. The trade-off between hardware utilization and speed is noted, and the overall performance of the proposed design methods are measured by calculating Area-Time-Product (ATP). Implemented using a Nangate OpenCell 45-nm slow-process Application Specific Inegrated Circuits (ASIC) technology library, the AxMM achieves a comparable power-performance-area (PPA) results in comparable to the existing state-of-the-art R-LWE modular multipliers.
FPGA Architectures for 32-Point Radix-2 DIT and DIF FFT Using IEEE 754 Half-Precision Floating-Point Arithmetic K Shruthi, R Tiwari, B Kanval, B Jajodia 2026 IEEE Madhya Pradesh Section Conference (MPCON), 744-750 , 2026 2026
Optimized Schoolbook-Based Sub-Multiplication Architecture for Polynomial Multiplication in Large Integer Arithmetic on FPGAs M Das, R Maharana, R Tiwari, K Shruthi, V Chaturvedi, GD Gautam, ... 2026 IEEE Madhya Pradesh Section Conference (MPCON), 760-765 , 2026 2026
Digital Implementation of Cordic-Based Fitzhugh Nagumo Neuron Models on FPGAs TD Roy, V Chaturvedi, B Jajodia 2026 IEEE Madhya Pradesh Section Conference (MPCON), 738-743 , 2026 2026
Hardware Design of Optimized Schoolbook-Based Finite Field Multiplications on FPGAs SK Singh, R Maharana, A Roy, K Shruthi, R Tiwari, V Chaturvedi, M Das, ... 2026 IEEE Madhya Pradesh Section Conference (MPCON), 751-759 , 2026 2026
Interpretable machine learning for diabetes risk prediction: a large-scale analysis of Indian national survey data B Barman, HK Choudhury, B Jajodia Discover Public Health 22 (1), 832 , 2025 2025 Citations: 1
Hybrid FSR-Based Pseudo-Random Number Generator on FPGA for Encrypting Biometrics K Menon, G Mali, B Jajodia 2025 37th International Conference on Microelectronics (ICM), 1-5 , 2025 2025
Improved Montgomery Modular Multipliers on FPGAs and ASICs A Roy, R Maharana, SK Singh, B Jajodia IEEE Embedded Systems Letters , 2025 2025
Division-Free Four-Way Toom-Cook Polynomial Multiplication Architecture for Large Integer Arithmetic on FPGAs and ASICs M Das, B Jajodia IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems , 2025 2025 Citations: 1
Hybrid quantum-classical solution for automated labeling and validation J Lalwani, D Linnet, M Vetrivelan, KH Venkat, R Shaik, B Jajodia Quantum Information Science, Sensing, and Computation XVII 13451, 51-65 , 2025 2025
ATP-Optimized Implementation of Four-Way Toom-Cook Multiplications on FPGAs for Large Integer Arithmetic M Das, B Jajodia Circuits, Systems, and Signal Processing 44 (5), 3554-3569 , 2025 2025 Citations: 3
Floating Point Multipliers on FPGAs U Singh, R Mundliya, R Maharana, B Jajodia 2025 Devices for Integrated Circuit (DevIC), 702-707 , 2025 2025 Citations: 1
Hybrid recursive Karatsuba multiplications on FPGAs M Das, B Jajodia IEEE Embedded Systems Letters 17 (4), 240-243 , 2025 2025 Citations: 9
FPGA-Based SoC Design with CORDIC-POSIT Arithmetic for Efficient IoT Data Processing S Singh, B Jajodia 2024 International Conference on IoT, Communication and Automation … , 2024 2024
Approximate Modular Multipliers for R-LWE Cryptosystems on FPGAs and ASICs S Maurya, B Jajodia 2024 IEEE Silchar Subsection Conference (SILCON 2024), 1-6 , 2024 2024
Area and delay trade-offs in three-way Toom-Cook large integer multipliers implemented on FPGAs M Das, B Jajodia IEEE Transactions on Circuits and Systems I: Regular Papers 72 (2), 600-609 , 2024 2024 Citations: 8
ATP-Optimized Four-Term Karatsuba Multipliers for Large Integer Arithmetic on FPGAs S Patel, S Singh, S Kumar, M Das, B Jajodia 2024 First International Conference on Electronics, Communication and Signal … , 2024 2024 Citations: 1
FPGA-Optimized Seven-Term Karatsuba Multipliers for Large Integer Arithmetic R Maharana, A Roy, SK Singh, M Das, B Jajodia 2024 First International Conference on Electronics, Communication and Signal … , 2024 2024 Citations: 2
FPGA-Optimized Asymmetrical and Symmetrical Six-Term Karatsuba Multipliers R Maharana, SK Singh, A Roy, M Das, B Jajodia 2024 First International Conference on Electronics, Communication and Signal … , 2024 2024 Citations: 1
An Eight-Term Karatsuba Multiplier for Cryptographic Hardware Primitives on FPGAs S Singh, S Patel, S Kumar, M Das, B Jajodia 2024 3rd International Conference on Advancement in Electrical and … , 2024 2024
Efficient Earth Observation Satellites Mission Planning with Quantum Algorithm J Lalwani, D Linnet, B Jajodia, MB Pande, A Patel, K Dave, BR Nikilesh 2024 International Conference on Trends in Quantum Computing and Emerging … , 2024 2024 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Design automation of two-stage operational amplifier using multi-objective genetic algorithm and SPICE framework P Das, B Jajodia 2022 International Conference on Inventive Computation Technologies (ICICT … , 2022 2022 Citations: 23
Hardware design of optimized large integer schoolbook polynomial multiplications on FPGA M Das, B Jajodia 2022 19th International SoC Design Conference (ISOCC), 65-66 , 2022 2022 Citations: 20
Towards an optimal hybrid algorithm for ev charging stations placement using quantum annealing and genetic algorithms A Chandra, J Lalwani, B Jajodia 2022 International Conference on Trends in Quantum Computing and Emerging … , 2022 2022 Citations: 18
Energy-efficient DAC switching technique for single-ended SAR ADCs B Jajodia, A Mahanta, SR Ahamed AEU-International Journal of Electronics and Communications 124, 153334 , 2020 2020 Citations: 18
Experimental analysis of attacks on rsa & rabin cryptosystems using quantum shor’s algorithm R Thombre, B Jajodia Proceedings of International Conference on Women Researchers in Electronics … , 2021 2021 Citations: 14
ART-MAC: Approximate rounding and truncation based MAC unit for fault-tolerant applications V Mishra, D Pandey, S Singh, S Satapathy, K Goswami, B Jajodia, ... 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 1640-1644 , 2022 2022 Citations: 11
Efcsa: An efficient carry speculative approximate adder with rectification S Singh, V Mishra, S Satapathy, D Pandey, K Goswami, DS Banerjee, ... 2022 23rd International Symposium on Quality Electronic Design (ISQED), 1-7 , 2022 2022 Citations: 11
IEEE 802.15. 6 WBAN standard compliant IR-UWB time-hopping PPM transmitter using SRRC signaling pulse B Jajodia, A Mahanta, SR Ahamed AEU-International Journal of Electronics and Communications 117, 153119 , 2020 2020 Citations: 10
Hybrid recursive Karatsuba multiplications on FPGAs M Das, B Jajodia IEEE Embedded Systems Letters 17 (4), 240-243 , 2025 2025 Citations: 9
HPAM: An 8-bit high-performance approximate multiplier design for error resilient applications D Pandey, V Mishra, S Singh, S Satapathy, B Jajodia, DS Banerjee 2022 23rd International Symposium on Quality Electronic Design (ISQED), 1-5 , 2022 2022 Citations: 9
Area and delay trade-offs in three-way Toom-Cook large integer multipliers implemented on FPGAs M Das, B Jajodia IEEE Transactions on Circuits and Systems I: Regular Papers 72 (2), 600-609 , 2024 2024 Citations: 8
FPGA implementation of hybrid Karatsuba multiplications for NIST post-quantum cryptographic hardware primitives M Das, B Jajodia 2022 19th International SoC Design Conference (ISOCC), 81-82 , 2022 2022 Citations: 7
Quantum image teleportation protocol (QITP) and quantum audio teleportation protocol (QATP) by using quantum teleportation and huffman coding M Karthik, J Lalwani, B Jajodia 2022 International Conference on Trends in Quantum Computing and Emerging … , 2022 2022 Citations: 6
Quantum Text Teleportation Protocol for Secure Text Transfer by using Quantum Teleportation and Huffman Coding M Karthik, J Lalwani, B Jajodia 2022 International Conference on Trends in Quantum Computing and Emerging … , 2022 2022 Citations: 5
Efficient hardware implementation of cube architecture using Yavadunam Sutra on FPGA M Thakare, P Yash, D Chakraborty, B Jajodia 2021 IEEE international midwest symposium on circuits and systems (MWSCAS … , 2021 2021 Citations: 5
Hardware implementation for determining perfect and non-perfect square roots using dwandwa yoga on fpga M Thakare, B Jajodia 2022 international conference on electrical, computer and energy … , 2022 2022 Citations: 4
Experimental evaluation of adder circuits on IBM QX Hardware D Singh, S Jakhodia, B Jajodia Inventive Computation and Information Technologies: Proceedings of ICICIT … , 2022 2022 Citations: 4
Demodulation techniques for IEEE 802.15. 6 IR-UWB DBPSK WBAN transceivers B Jajodia, RA Shaik, A Mahanta 2015 IEEE 3rd International Conference on Smart Instrumentation, Measurement … , 2015 2015 Citations: 4
PPM demodulation schemes for IEEE 802.15. 6 IR-UWB WBAN receivers B Jajodia, RA Shaik, A Mahanta 2015 IEEE International Conference on Signal Processing, Informatics … , 2015 2015 Citations: 4
ATP-Optimized Implementation of Four-Way Toom-Cook Multiplications on FPGAs for Large Integer Arithmetic M Das, B Jajodia Circuits, Systems, and Signal Processing 44 (5), 3554-3569 , 2025 2025 Citations: 3