Dr. Debanjan Das - Publication

PATENTS

Granted:

1. S. C. Misra, D. Das, S. Misra, V. Udutalapally, N. Sengar, A. Ghosh, Tanushree Pan “Wireless Network Device For Wireless Communication With User Devices In A Wireless Communication Network,” Indian Patent, Patent No-539308, Application No. 202311028663 filed on April 20, 2023.

2. S. C. Misra, D. Das, V. Udutalapally, S. Misra, N. Sengar, A. Ghosh, “Blockchain-Enabled IoT System and Method For Securing Real Time Data In a Microcontroller-Based Blockchain Network” Indian Patent, Patent No- 529261, Application No. 202211070221 dated 06/12/2022

3. D. Das, A. Sinha, V. Udutalapally , “Self-Sustainable Iot Sensor Node With Self Battery And Sensor Health Monitoring Capability,” Indian Patent, Patent No-472923, Application No. 202321017132 dated 14/03/2023

4. S. C. Misra, D. Das, V. Udutalapally, V. Kotiyal, P. Dev, “System and method for automatic assessing and monitoring of a user’s activity” Indian Patent, Patent No- 396567, Application No. 202111043890 dated 27-09-2021

Filled:

S. C. Misra, D. Das, S. Misra, V. Udutalapally, A. Gupta, “A Continuous Lung Health Monitoring System”, Indian Patent, Application No. 202311027111 filed on April 12, 2023
S. Misra, D. Das, V. Udutalapally, A. Ghosh, P. K. Dev, “A Secured Automated Power Control And Management System For Legacy IoT Infrastructures,” Indian Patent (Published), Application No-202131038016, 23/08/2021
D. Das, R. Mahapatra, A. K. Shrivastava, “Molecular Communication-Based System Having Differential Detectors with Inter-Symbol Interference Mitigation for Mobile Molecular Communication,” Indian Patent (Published) (Application No. 202131035299)

COPYRIGHT

1. D. Das, V. Udutalapally, J. Prajapati, S. Misra, R. Mahapatra, "HemOctor" on computer application software for Smartphone, Indian Copyright Filed, Diary no. 12055/2022-CO/SW, Dated 07.06.2022

BOOK CHAPTER

D. Das, S. Das, “Non-Invasive Cellular Characterization using Bioimpedance Sensing,” Springer Nature, Singapore , 2020 (accepted)

JOURNALS

S. Ghosal, D. Das, V. Udutalapally, S. Sridhar, S. M. S. S. Basha, & P. N. Wasnik, “DeepVitals: Deep neural and IoT based vitals monitoring in smart teleconsultation system,” Elsevier Internet of Things, 101117, 2024.
H. Pandey, S. Arya, D. Das and U. Venkanna, “FoodExpert: Portable Intelligent Device for Rapid Screening of Pulse Quality and Adulteration,” IEEE Transactions on AgriFood Electronics, Nov, 2023
A Sinha, D Das, “XAI-LCS: Explainable AI-based Fault Diagnosis of Low-Cost Sensors,” IEEE Sensors Letters, 2023, doi: 10.1109/LSENS.2023.3330046.
A Sinha, D Das, “An Explainable Deep Learning Approach for Detection and Isolation of Sensor and Machine Faults in Predictive Maintenance Paradigm,” IoP Measurement Science and Technology, vol 35 (1), p. 015122, 2023
J. Prajapati, D. Das, U. Venkanna, R. Mahapatra and P. N. Wasnik, "jScan: Smartphone-assisted Bilirubin Quantification and Jaundice Screening," in IEEE Sensors Journal, doi: 10.1109/JSEN.2023.3315452.
A. K. Shrivastava, D. Das, and R. Mahapatra, “Detection and ISI mitigation in mobile molecular communication system for targeted drug delivery,” Nano Communication Networks, p.100476, 2023.
A. Sinha, A. S. Pandaw, D. Das, “An Intelligent Fault Detection Framework for HVAC Systems with Alert Generation”, SN Computer Science, 4, 616, 2023.
A. Ghosh, S. Misra, V. Udutalapally and D. Das, "LoRaute: Routing Messages in Backhaul LoRa Networks for Underserved Regions," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3281941.
A. Sinha, D. Das, “SNRepair: Systematically Addressing Sensor Faults and Self-Calibration in IoT Networks”, in IEEE Sensors Journal, vol. 23, no. 13, pp. 14915-14922, 2023
A. Sinha, D. Das, and S.K. Palavalasa, “dClink: A data-driven based clinkering prediction framework with automatic feature selection capability in 500 MW coal-fired boilers,” Elsevier Energy, p.127448, 2023.
V. Kotiyal, A. Gupta, P. K. Deb, S. C. Misra, D. Das and V. Udutalapally, "Skipper: A Federated Siamese Network-Based Group Activity Segregator for IoMT Systems," in IEEE Transactions on Computational Social Systems, 2023, doi: 10.1109/TCSS.2023.3244188
D. Chowdhury, A. Sinha and D. Das, "XAI-3DP:Diagnosis and Understanding Faults of 3D Printer with Explainable Ensemble AI," in IEEE Sensors Letters, 2022, doi: 10.1109/LSENS.2022.3228327.
A. Gupta, S. Misra, N. Pathak, and D. Das, “FedCare: Federated Learning for Resource-Constrained Devices in IoMT-based Social Healthcare Systems,” IEEE Transactions on Computational Social Systems, 2022 (Accepted)
A. Sinha, D. Chowdhury, S. Sharma, Y. R. Sherke, & D. Das, “nCare: Fault-aware edge intelligence for rendering viable sensor nodes,” Elsevier Internet of Things, vol. 21, p. 100643, 2023.
A. Sinha, D. Das, V. Udutalapally and S. P. Mohanty, "iThing: Designing Next-Generation Things With Battery Health Self-Monitoring Capabilities for Sustainable IIoT," in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-9, 2022, Art no. 3528409, doi: 10.1109/TIM.2022.3216594.
J. Prajapati, V. Udutalapally, D. Das, R. Mahapatra, S. C. Misra, & P. N. Wasnik, “iFlick: Smartphone-based anemia screening in rural healthcare paradigm,” Smart Health, 100327, 2022.
A. Rajbanshi, D. Das, V. Udutalapally, R. Mahapatra, “dLeak: An IoT-Based Gas Leak Detection Framework for Smart Factory,” SN Computer Science, 3(4), 1-12, 2022.
R. K. Murali-Baskaran, P. Mooventhan, D. Das, A. Dixit, K. C. Sharma, S. Senthil Nathan, P. K. Ghosh, “The Future of Plant Volatile Organic Compounds (pVOCs) Research: Advances and Applications for Sustainable Agriculture,” Environmental and Experimental Botany, p. 104912, vol 200, 2022.
S. Ghosal, D. Das, U. Venkanna, P. N. Wasnik, “iNAP: A Hybrid Approach for NonInvasive Anemia-Polycythemia Detection in the IoMT,” ACM Transactions on Computing for Healthcare, 3(3), 1-28, 2022
D. Das, S. Ghosal, S. P. Mohanty, “CoviLearn: A Machine Learning Integrated Smart X-Ray Device in Healthcare Cyber-Physical System for Automatic Initial Screening of COVID-19,” SN Computer Science, doi : 10.1007/s42979-022-01035-x
P. Joshi, D. Das, V. Udutalapally, M. K. Pradhan and S. Misra, "RiceBioS: Identification of Biotic Stress in Rice Crops using Edge-as-a-Service," in IEEE Sensors Journal, doi: 10.1109/JSEN.2022.3143950.
S. Mandal, D. Das, V. Udutalapally, “mSickle: sickle cell identification through gradient evaluation and smartphone microscopy,” Journal of Ambient Intelligence and Humanized Computing, 1-13, 2022
S. Ghosal, A. Kumar, V. Udutalapally and D. Das, "gluCam: Smartphone Based Blood Glucose Monitoring and Diabetic Sensing," in IEEE Sensors Journal, vol. 21, no. 21, pp. 24869-24878, 2021,
S.P. O. Kare, D. Das, K. Chaudhury, S. Das, “Hand-drawn electrode based disposable paper chip for artificial sweat analysis using impedance spectroscopy,” Biomed Microdevices 23, 42 (2021).
D. Das, V. Udutalapally and S. P. Mohanty, "Consumer Technologies for Smart Agriculture," in IEEE Consumer Electronics Magazine, vol. 10, no. 4, pp. 49-50, 1 July 2021.
A. K. Shrivastava, D. Das, N. Varshney and R. Mahapatra, “Transmission and Detection Techniques for Internet of Bio-Nano Things Applications with Static and Mobile Molecular Communication: A Survey,” ITU Journal on Future and Evolving Technologies - Special issue on Internet of Bio-NanoThings for Health Applications, 2021.
A. K. Shrivastava, D. Das and R. Mahapatra, "Particle-Based Simulation of the Differential Detectors for Mobile Molecular Communication," in IEEE Communications Letters, vol. 25, no. 9, pp. 3008-3012, 2021.
A. K. Shrivastava, D. Das and R. Mahapatra, "Performance Evaluation of Mobile Molecular Communication System using Neural Network Detector," in IEEE Wireless Communications Letters, 2021, doi: 10.1109/LWC.2021.3079522.
S. Ghosal, D. Das, V. Udutalapally, A. K. Talukder and S. Misra, "sHEMO: Smartphone Spectroscopy for Blood Hemoglobin Level Monitoring in Smart Anemia-Care," in IEEE Sensors Journal, vol. 21, no. 6, pp. 8520-8529, 15 March 15, 2021, doi: 10.1109/JSEN.2020.3044386.
A. K. Shrivastava, D. Das, R. Mahapatra, & S. P. Mohanty, “dMole: A Novel Transreceiver for Mobile Molecular Communication Using Robust Differential Detection Techniques,” IEEE Transactions on NanoBioscience, 19(4), 609-621, 2020.
A. Parekh1, D. Das2, S. Das, S. Dharaa, K. Biswas, M. Mandala, S. Das, "Bioimpedimetric analysis in conjunction with growth dynamics to differentiate aggressiveness of cancer cells," Nature Scientific Reports, 8:783, 2018.
M. Dutta, B. Singh, M. Joshi, D. Das, E. Subramani, M. Maan, S. K. Jana, U. Sharma, S. Das, S. Dasgupta, C. D. Ray, B. Chakravarty, and K. Chaudhury, “Metabolomics reveals perturbations in endometrium and serum of minimal and mild endometriosis,” Nature Scientific Reports, 8: 6466, 2018
S. Biswas, D. Sikdar, D. Das, M. Mahadevappa, & S. Das, “PDMS based multielectrode arrays for superior in-vitro retinal stimulation and recording,” Biomedical Microdevices, vol. 19(4), p. 75, 2017.
A. Anura, D. Das, M. Pal, R R Paul, S. Das, J. Chatterjee, "Nanomechanical Signatures of Oral Submucous Fibrosis in Sub-epithelial Connective Tissue," Journal of the Mechanical Behavior of Biomedical Materials, vol. 65, pp. 705-715, 2017.
D. Das, K. Shiladitya, A. Parekh, M. Mandal, K. Biswas, P.K. Dutta and S. Das, "Wavelet-based multiscale analysis of bioimpedance data measured by electric cell-substrate impedance sensing for classification of cancerous and normal cells," Physical Review E, vol. 92(6), p. 062702, 2015.
D. Maji, D. Das, J. Wala and S. Das, "Buckling assisted and lithographically micropatterned fully flexible sensors for conformal integration applications," Nature Scientific Reports, vol 5, p. 17776, 2015.
D. Das, F. A. Kamil, S. Agrawal, K. Biswas and S. Das, “Fragmental Frequency Analysis Method to Estimate Cellular Parameters from Bioimpedance Study,” IEEE Transactions on Instrumentation & Measurement, vol.63, no.8, pp.1991-2000, 2014.
D. Das, F. A. Kamil, K. Biswas and S. Das, “Electrical characterization of Single HeLa cell via bioimpedance measurement of cell suspension,” RSC Advances, vol. 4, pp. 18178-18185, 2014.
D. Das, K. Biswas and S. Das,"A microfluidic device for continuous manipulation of biological cells using Dielectrophoresis," Medical Engineering & Physics, vo. 36 (6), pp. 726–731, 2014.

CONFERENCES

A. Agrawal, A. Sinha, D. Das, “LSTM-Autoencoder-based Interpretable Predictive Maintenance Framework for Industrial Systems,” 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (Accepted).
A. Sinha, U. Venkanna, D. Das, and R. Mahapatra, “SDN-Based Seamless Mobility Management for B5G Services in High-Speed Railways,” IEEE ANTS 2023.
S. R. Akshath, G. Srinith, U. Dheeraj, D. Das, “WiCare: Accidental Fall Detection for Elderly Care Using Passive Wi-Fi Sensing,” 9th IEEE International Conference On Signal Processing and Communication (ICSC 2023), Dec 2023.
J. Prajapati, D. Das, U. Venkanna, R. Mahapatra, “XAIA: An Explainable AI Approach for Classification and Analysis of Blood Anemia,” 2023 OITS International Conference on Information Technology (OCIT), Raipur, India, Dec 2023.
A. Bhandekar, U. Venkanna, and D. Das, “Acoustic Based Chicken Health Monitoring in Smart Poultry Farms,” 2023 IEEE International Symposium on Smart Electronic Systems (iSES), Jaipur, Dec, 2023 (Accepted).
G. S. Sriram, SVS. Aditya, G. T. Akshar, U. Venkanna, and D. Das, “Drone Vision Based Abiotic Stress Monitoring for Smart Agriculture,” 2023 IEEE International Symposium on Smart Electronic Systems (iSES), Jaipur, Dec, 2023 (Accepted).
S. T. Rapolu, U. C. Kadali, J. Vemula, A. Sinha and D. Das, “Interpretable Deep Learning Approach for Long Horizon Health Prognosis of a Li-ion Battery,” 2023 IEEE 20th India Council International Conference (INDICON), Warangal, India, Dec, 2023.
H. Soni, A. Sinha, V. Patel, D. Das and U. Venkanna, “Ensemble Learning Approach for Predictive Maintenance in Investment Casting Process,” 2023 IEEE 20th India Council International Conference (INDICON), Warangal, India, Dec, 2023.
A. Sinha, S. F. Ahmed and D. Das, "Explainable AI for Bearing Fault Detection Systems: Gaining Human Trust," 2023 IEEE Guwahati Subsection Conference (GCON), Guwahati, India, 2023, pp. 1-6.
A. Sinha and D. Das, “Machine Learning-based Explainable Stator Fault Diagnosis in Induction Motor using Vibration Signal,” 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Kuala Lumpur, Malaysia, 2023, pp. 1-6.
M. Vasanth, P. A. Gunturu, A. Sinha, D. Das, “DELiB: Deep Extreme Learning-Based Health Estimation for Lithium-ion Battery,” 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Kuala Lumpur, Malaysia, 2023, pp. 1-6.
S. Verma, I. Singh, K. Ray, R. Patra and D. Das, "iCAT : Intelligent Cataract Detection Using Deep Neural in Smartphone," 2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), Naya Raipur, India, 2022, pp. 126-131.
S. Shukla and D. Das, "IoT Based Non-Invasive Vital Signs Monitoring in Neonatal Intensive Care Unit (NICU)," 2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), Naya Raipur, India, 2022, pp. 95-100.
V. Tiwari and D. Das, "iHELM:An IoT-Based Smart Helmet for Real-time Motorbike Accident Detection and Emergency Healthcare Services," 2022 OITS International Conference on Information Technology (OCIT), Bhubaneswar, India, 2022, pp. 531-536.
A. Sinha and D. Das, "On-board Battery Health Prediction in Sensor Node for Sustainable IoT," 2022 IEEE International Symposium on Smart Electronic Systems (iSES), Warangal, India, 2022, pp. 453-454, doi: 10.1109/iSES54909.2022.00098.
K. B. Singh, N. Sengar, D. Das and S. C. Misra, "Village 5.0: Enabling Technologies and its Applications in Development of Smart Village," 2022 IEEE International Symposium on Smart Electronic Systems (iSES), Warangal, India, 2022, pp. 556-561, doi: 10.1109/iSES54909.2022.00122.
S. Raje, V. Erapu, U. Venkanna and D. Das, "eGWQI: Edge Intelligence Based Ground Water Quality Monitoring System for Smart Irrigation," 2022 IEEE International Symposium on Smart Electronic Systems (iSES), Warangal, India, 2022, pp. 568-573, doi: 10.1109/iSES54909.2022.00124.
A. Bhowmik, M. Sannigrahi, D. Chowdhury and D. Das, "RiceCloud: A Cloud integrated Ensemble learning based Rice leaf Diseases Prediction System," 2022 IEEE 19th India Council International Conference (INDICON), Kochi, India, 2022, pp. 1-6, doi: 10.1109/INDICON56171.2022.10039790.
U. K. Agrawal, A. K. Shrivastava, D. Das and R. Mahapatra, "Neural Network Detector in Mobile Molecular Communication for Fast Varying Channels," 2022 International Conference on Connected Systems & Intelligence (CSI), 2022, pp. 1-5, doi: 10.1109/CSI54720.2022.9924143.
A. Bhattacharya, R. Rana, U. Venkanna, D. Das, “CoviFL: Edge-Assisted Federated Learning for Remote COVID-19 Detection in an AIoMT Framework,” 2022 IEEE Conference on ICT Solutions for eHealth (ICTS4eHealth 2022), 2022.
R. Bompilwar, S. P. S. Rathor, A. Sinha and D. Das, “tCrop: Thermal Imaging Based Plant Stress Identification Using On-Edge Deep Learning,” 2022 IEEE Region 10 Symposium (TENSYMP), 2022
D. Chowdhury, R. Rana, A. Sinha and D. Das, "AutoFD: An Intelligent Electrical Fault detection techniques for Photovoltaic cell using Autokeras," 2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC), 2022, pp. 221-225, doi: 10.1109/R10-HTC54060.2022.9929579.
S. K. Agrawal, S. Banerjee, A. Sinha, D. Das, “SafeEngine: Fault Detection With Severity Prediction for Diesel Engine,” 2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC), 2022pp. 216-220, doi: 10.1109/R10-HTC54060.2022.9929791.
A. Agarwal and D. Das, “mDLSpiro: Hardware Efficient Deep Learning based Mobile Spirometry,” 2022 IEEE India Council International Subsections Conference (INDISCON), 2022pp. 1-6, doi: 10.1109/INDISCON54605.2022.9862871.
P. R. Medi, A. Marisetty, A. Sinha and D. Das, “DaSoR: Data-Driven State-Of-Health & Remaining Useful Life Estimation of Li-Ion Batteries in a Closed-Loop System of Electric Vehicles,” In 2022 IEEE Delhi Section Conference (DELCON), pp. 1-5. IEEE, 2022.
R. Bompilwar, S. P. S. Rathor, A. Sinha and D. Das, “Safe-To-Fly: An On-Board Intelligent Fault Diagnosis System With AutoML for Unmanned Aerial Vehicles,” In 2022 IEEE Delhi Section Conference (DELCON), pp. 1-5. IEEE, 2022.
T. Mukherjee, A. Sinha, D. Das, “mGearbox: Condition Based Monitoring of Gearbox in Agricultural Machinery,” in 2021 7th IEEE International Conference for Convergence in Technology (I2CT), 2022.
S. R. Patnaik, U. Venkanna, D. Das, “iCAP: An IoT based Wearable For Real-Time Accidental Fall Detection and Health Monitoring of Remote Maintenance Workers,” in 2021 7th IEEE International Conference for Convergence in Technology (I2CT), 2022.
B. A. Reddy, G. S. Krishna, K. P. Saraswathi, I. Sadhbika, U. Venkanna, D. Das, “dScout : Unmanned Ground Vehicle for Automatic Disease Detection and Pesticide Atomizer,” in 2021 7th IEEE International Conference for Convergence in Technology (I2CT), 2022.
P. R. Medi, P. Nemani, V. R. Pitta, U. Venkanna, D. Das, S. P. Mohanty, “SkinAid: A GAN-Based Automatic Skin Lesion Monitoring Method for IoMT Frameworks,” In 2021 19th OITS International Conference on Information Technology (OCIT), pp. 200-205. IEEE, 2021..
S. Singh, S. Agrawal, T. Sahu and D. Das, "iPipe: Water Pipeline Monitoring and Leakage Detection," 2021 IEEE International Symposium on Smart Electronic Systems (iSES), 2021, pp. 367-372.
P. Joshi, D. Das, V. Udutalapally and S. C. Misra, "FarmEdge: A Unified Edge Computing Framework Enabling Digital Agriculture," 2021 IEEE International Symposium on Smart Electronic Systems (iSES), 2021, pp. 255-260.
C. N. Jaikishore, V. Udutalapally and D. Das, "AI Driven Edge Device for Screening Skin Lesion and Its Severity in Peripheral Communities," 2021 IEEE 18th India Council International Conference (INDICON), 2021, pp. 1-6, doi: 10.1109/INDICON52576.2021.9691666.
A. Sinha and D. Das, "sCalib: A Warehouse Sensor Fault Detection and Self-Calibration Technique for Sustainable IoT," 2021 IEEE 18th India Council International Conference (INDICON), 2021, pp. 1-6, doi: 10.1109/INDICON52576.2021.9691676.
A. K. Shrivastava, D. Das, N. Varshney, and R. Mahapatra, “Scaled Conjugate Gradient Algorithm for Neural Network Detector in Mobile Molecular Communication,” 2021 IEEE GLOBECOM 2021, December 7 – 11 .
A. Jha, A. Dubey and D. Das, “Realization of Solid Fractional Order Capacitor Using Common Materials,” in 2021 IEEE second International Conference on Control, Measurement and Instrumentation (CMI), (pp. 138-143), 2021.
G. Chowdhary, N. K. Toppo, and D. Das, “Skin Lesion Diagnosis in Healthcare-Cyber Physical System,” In 2020 IEEE International Conference for Innovation in Technology (INOCON), (pp. 1-6). IEEE, 2020.
A. K. Shrivastava, D. Das and Rajarshi Mahapatra, “Adaptive Threshold Detection and ISI Mitigation in Mobile Molecular Communication,” IEEE Wireless Communication and Network Conference (WCNC)-2020.
S. V. Alluri L S V, V. Sinha, D. Das, “Health Assessment for Office Workers by Tracking the Wrist Motion Centric Activity,” IEEE Indicon, Dec 13-15, 2019.
S. Kumar, G. Chaudhary, U. Venkanna, D. Das, S. P. Mohanty, “gCrop: Internet-of-Leaf-Things (IoLT) for Monitoring of the Growth of Crops in Smart Agriculture,” IEEE iSES, 16-18th Dec, 2019.
V. Pallagani, V. Khandelwal, B. Chandra, U. Venkanna, D. Das, S.P. Mohanty, “dCrop: A Deep-Learning Based Framework for Accurate Prediction of Diseases of Cropsin Smart Agriculture,” IEEE iSES, 16-18th Dec, 2019.
S. Yadav, S. Ganesh, D. Das, U. Venkanna, R. Mahapatra, A. K. Shrivastava, P. Chakrabarti, A. K Talukder, “Suśruta: Artificial Intelligence Driven Smartphone Apps for diagnosis and differentiation of anemias with higher accuracy at Resource Constrained Point-of-Care settings,” Seventh International Conference on Big Data Analytics, 17-20th Dec, 2019.
A. K. Shrivastava, D. Das and R. Mahapatra, “Slope Based Detection for Mobile Molecular Communication Based on Einstein's Law of Diffusion,” IEEE Indicon, Dec, 2018.
M. Kumar, D. Das, “MEMS based Flow Cytometer with Instrumentation System for Detection of Micro Particles for Health Care Applications,” 2018 Recent Advances on Engineering, Technology and Computational Sciences (RAETCS), pp. 1-5. IEEE, 2018..
G. S. Rohit, M. B. Chandra, S. Saha, D. Das, “Smart Dual Dustbin Model for Waste Management in Smart Cities,” In 2018 3rd International Conference for Convergence in Technology (I2CT), pp. 1-5. IEEE, 2018.
S. Biswas, D. Das, M. Mahadevappa, S. Das, “Characterization of Retinal Tissue and Vitreous Humor with Electrical Impedance Spectroscopy,” in Proceeding of 8th International IEEE EMBS conference on Neural Engineering, 2017.
D. Das, A. Anura, S. Das, M. Mandal, S. Das, "AFM based Biomechanical Characterization for Assessment of Cancer Aggressiveness," Biophysical Society Conference: Mechanobiology of Disease, September 27-30, 2016, Singapore.
A. Anura, D. Das, M. Pal, R.R. Paul, J. Chatterjee, "Unrevealing nanomechanical signatures of epithelial and connective tissue of oral submucous fibrosis," Biophysical Society Conference: Mechanobiology of Disease, September 27-30, 2016, Singapore.
O.K. S. Prakasam, D. Das, K. Chaudhury and S. Das, "Fabrication of Cost-effective and Lithographically Patterned Flexible Paper-based Microfluidic Device using Photo-PDMS for Point of Care Application", in Proceeding of BIOSENSORS 2016, Sweden, 2016.
D. Das, K. Biswas and S. Das, "Dielectrophoresis based Microfluidic chip for continuous label-free separation of cells," in IEEE Proceeding of 9th International Conference on Sensing Technology (ICST), New Zealand, 2015.
S. Das, D. Das, S. Maiti and K. Biswas, “A bioimpedance-based microflow cytometer with compact electronic instrumentation for counting of microparticles,” in IEEE Proceeding of 9th International Conference on Sensing Technology (ICST), New Zealand, 2015.
S. Sohail, D. Das, S. Das and K. Biswas, "Study of PDMS as Dielectric Layer in Electrowetting Devices," Physics of Semiconductor Devices, Environmental Science and Engineering V. K. Jain and A. Verma, eds., pp. 487-490: Springer International Publishing, 2014.
D. Das, F. A. Kamil, K. Biswas and S. Das, "Electrical Characterization of Suspended HeLa Cells using ECIS based Biosensor," IEEE Proceeding in 6th International Conference on Sensing Technology (ICST), India, 2012.
P. Manocha, D. Das, K. Biswas and S. Das, "Simulation and Fabrication for Dielectrophoretic Microfluidic Device," in Proceedings of Sixth International Conference on Smart Materials, Structures and Systems (ISSS), Bangalore, 2012.
D. Das, S. Sohail, S. Das and K. Biswas, " Voltage and Capacitance Analysis of EWOD System Using COMSOL," in Proceedings of the 2011 COMSOL Conference in Bangalore, 2011.
S. Sohail, D. Das, S. Das and K. Biswas, " Electrowetting-on-dielectric Induced Droplet Actuation in MxN Array of Electrode," in Proceedings of the 2011 COMSOL Conference in Bangalore, 2011.
D. Das, S. Sohail, S. Das and K. Biswas, “Dynamic positional study of EWOD induced Droplet transport on PDMS based micro-channel.” in Proceedings of National Conference on Sensor and Actuator, 2011.
D. Das, S. Das and K. Biswas, “Effect of Electrode Geometry on Voltage Reduction in EWOD Based Devices.” in IEEE Proceedings of 2010 International Conference on Systems in Medicine and Biology (ICSMB), IIT Kharagpur, pp. 371-375, 2010.

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