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Dr. S. Karthik

Associate Professor

Department of Electronics & Communication Engineering

Contact Information

Email : karthiks1@srmist.edu.in


Ph.D Degree –
Area or Subject – VLSI Systems For Simultaneous In Logic Simulation
University – Vels Institute of Science, Technology & Advanced Studies
Awarded Year – 2018

PG Degree –
Area or Subject – VLSI Design
University – Sathyabama Institute of Science and Technology
Awarded Year – 2005

UG Degree –
Area or Subject – Electrical and Electronics Engineering
University – Velammal Engineering College
Awarded Year – 2003

  • Scripting Languages for VLSI Design Automation
  • VLSI Testing and Testability
  • Analogue and Digital VLSI
  • Digital Logic Design
  • Microprocessors and Microcontrollers
  • Semiconductor Devices and Circuits
  • Computer Organisation and Architecture
  • Electronic Circuits
  • ASIC Design
  • Basic Electrical and Electronics Engineering

  • High-performance computing
  • VLSI
  • ASIC
  • FPGAs
  • GPUs
  • Machine Learning
  • Data Science

  • Karthik, S., & Tamilarasi, R. (2024). Design and investigation of
    Gaussian doped junction-free SMDG and TMDG-TFET for analog/RF
    applications. Engineering Research Express, 6(3).
  • Karthik, S., & Tamilarasi, R. (2024). Performance optimization of AlGaAs
    and AlₓGa₁₋ₓAs-based SM-TM-DG-JL-TFET for analog/RF applications.
    Physica Scripta, 99(7).
  • Sekhar, K., Priyadarsini, K., & Sekhar, P. K. (2024). A Contiguous
    Temporal Chebyshev Convolutional Optimized Network (CoC-TemNet) model
    for energy prediction in IoT-enabled smart city networks. IEEE Internet
    of Things Journal, 11(13), 23630–23643.
  • Sekhar, K., & Raja, T. (2024). Performance evaluation of GPVs in
    existing TFET and proposed DG-JL-TFET: Enhancing the RF performance
    through qualitative and quantitative approaches. Applied Physics A:
    Materials Science and Processing, 130(6).
  • Sekhar, K., & Raja, T. (2024). Comparative analysis and study of the
    performance of narrow bandgap and wide bandgap materials for the
    homogeneous structure of double-gate junctionless tunnel field effect
    transistor (DG-H-JL-TFET). AIP Conference Proceedings, 2966(1).
  • Sekhar, K., Gunasekar, S., & Karthik, P. (2024). A performance analysis
    of various compressive sensing techniques in IoT-based WSNs and their
    applications. AIP Conference Proceedings, 2966(1).
  • Karthik, S., & Saranya, V. G. (2024). Bio-inspired intelligent routing
    in WSN: Integrating Mayfly optimization and enhanced ant colony
    optimization for energy-efficient cluster formation and maintenance.
    CMES – Computer Modeling in Engineering and Sciences, 141(1), 127–150.
  • Karthik, S., Shirly Edward, A., & Tamilarasi, R. (2024). A survey based
    on FinFET breaking the Moore’s law barrier with future wireless
    communication systems. Proceedings of the 2024 3rd International
    Conference on Sentiment Analysis and Deep Learning (ICSADL 2024),
    517–523.
  • Karthik, S., Rathina Kumar, P., Tamilarasi, R., & Balaji, T. S. (2024).
    A comprehensive review and comparative analysis of TFET and DG-JL-TFET.
    Proceedings of the 9th International Conference on Science, Technology,
    Engineering and Mathematics: The Role of Emerging Technologies in
    Digital Transformation (ICONSTEM 2024).
  • Karthik, S., & Tamilarasi, R. (2024). Enhancing performance and
    versatility of DG-JL-TFET with A1N piezoelectric materials for
    high-power applications. 2024 International Conference on Recent
    Advances in Electrical, Electronics, Ubiquitous Communication, and
    Computational Intelligence (RAEEUCCI 2024).
  • Karthik, S., & Tamilarasi, R. (2024). Analyze and optimize the
    performance of InGaN-based DG-JL-TFET through efficient design and
    investigation. International Conference on Distributed Computing and
    Optimization Techniques (ICDCOT 2024).
  • Karthik, S., & Tamilarasi, R. (2023). RF performance-based comprehensive
    review on homo and hetero structure of DG-JL-TFET. 7th International
    Conference on Electronics, Communication and Aerospace Technology (ICECA
    2023) Proceedings, 34–40.
  • Karthik, S., & Saranya, V. G. (2023). A comprehensive study on security
    attacks and its defense techniques in wireless sensor networks.
    Proceedings of the 4th International Conference on Smart Electronics and
    Communication (ICOSEC 2023), 519–527.
  • Karthik, S., & Tamilarasi, R. (2023). Machine learning-assisted device
    modeling: A survey. Proceedings of the 5th International Conference on
    Inventive Research in Computing Applications (ICIRCA 2023), 833–839.
  • Karthik, S., & Balaji, S. (2023). Deep learning-based energy consumption
    prediction on internet of things environment. Intelligent Automation and
    Soft Computing, 37(1), 727–743.
  • Karthik, S., & Balaji, S. (2023). Energy prediction in IoT systems using
    machine learning models. Computers, Materials and Continua, 75(1),
    443–459.
  • Karthik, S., & Balaji, S. (2023). Comparative study of various machine
    learning and deep learning techniques for energy prediction and
    consumption using IoT modules. Cognitive Science and Technology, 99–105.
  • Karthik, S., & Balaji, S. (2023). Multi-regressions-based traditional
    machine learning approach for energy forecasting system. Cognitive
    Science and Technology, 91–97.
  • Karthik, S., Priyadarsini, K., Poovannan, E., & Balaji, S. (2023).
    Emulating SoCs for accelerating pre-Si validation. Cognitive Science and
    Technology, 107–112.
  • Karthik, S., & Poovannan, E. (2023). Power prediction of VLSI circuits
    using machine learning. Computers, Materials and Continua, 74(1),
    2161–2177.
  • Karthik, S., Priyadarsini, K., & Saranya, V. G. (2022). A brief survey
    on cluster-based energy-efficient routing protocols in IoT-based
    wireless sensor networks. International Journal on Recent and Innovation
    Trends in Computing and Communication, 10, 247–254.
  • Karthik, S., Priyadarsini, K., & Baid, T. (2022). The impact of
    blockchain on cloud and AI. The Convergence of Artificial Intelligence
    and Blockchain Technologies: Challenges and Opportunities, 93–113.
  • Karthik, S., & Poovannan, E. (2022). Pre-synthesis and post-synthesis
    power estimation of VLSI circuits using machine learning approach.
    Applied Artificial Intelligence, 36(1).
  • Karthik, S., Bhadoria, R. S., Lee, J. G., Chaurasia, B. K., &
    Ashokkumar, S. (2022). Prognostic Kalman filter-based Bayesian learning
    model for data accuracy prediction. Computers, Materials and Continua,
    72(1), 243–259.
  • Sekhar, K., & Karthik, P. (2021). Resource scheduling approach in cloud
    testing as a service using deep reinforcement learning algorithms. CAAI
    Transactions on Intelligence Technology, 6(2), 147–154.
  • Karthik, S., Priyadarsini, K., & Hemakesavulu, O. (2021). Towards
    effective time series classification of multi-class imbalanced learning.
    Proceedings – International Conference on Artificial Intelligence and
    Smart Systems (ICAIS 2021), 1576–1582.
  • Karthik, S., & Priyadarsini, K. (2021). An overview on IoT data
    analytics with a survey on CNN accelerator architecture. A Closer Look
    at Big Data Analytics, 37–67.
  • Karthik, S., Priyadarsini, K., Malathi, K., & Rao, M. V. V. R. (2021).
    Impact of COVID-19 on IIoT. Industrial Internet of Things (IIoT):
    Intelligent Analytics for Predictive Maintenance, 321–348.
  • Karthik, S., Ajin Roch, A., & Arthi, R. (2021). Dynamic programmable
    clock frequency using machine learning algorithms to reduce power
    consumption in wearables. Studies in Computational Intelligence, 903,
    337–347.
  • Kirtania, S. G., Riheen, M. A., Kim, S. U., Wisniewska, A., & Sekhar, P.
    K. (2020). Inkjet printing on a new flexible ceramic substrate for
    Internet of Things (IoT) applications. Micromachines, 11(9).
  • Karthik, S., Malathi, K., & Priyadarsini, K. (2020). TaaS
    environment-task scheduling algorithms for cloud computing.
    International Journal of Advanced Science and Technology, 29(3),
    5598–5604.
  • Karthik, S., & Balaji, S. (2020). Energy prediction system using
    Internet of Things. 2020 6th International Conference on Advanced
    Computing and Communication Systems (ICACCS 2020), 1131–1135.
  • Kirtania, S. G., Elger, A. W., Hasan, M. R., Karacolak, T., & Sekhar, P.
    K. (2020). Flexible antennas: A review. Micromachines, 11(9).
  • Karthik, S., & Priyadarsini, K. (2019). Potential use of RTL
    co-simulation. International Journal of Innovative Technology and
    Exploring Engineering, 8(12), 586–588.
  • Karthik, S., & Priyadarsini, K. (2019). Iris authentication for TaaS on
    cloud. International Journal of Innovative Technology and Exploring
    Engineering, 8(12), 2810–2813.
  • Karthik, S., Priyadarsini, K., & Suhas, S. (2019). Area-efficient
    LFSR-based ADC in 45nm technology using Verilog A. International Journal
    of Innovative Technology and Exploring Engineering, 8(12), 2460–2463.
  • Karthik, S., Priyadarsini, K., & Jeanshilpa, V. (2018). VLSI systems for
    simultaneous in-logic simulation. Proceedings of the IEEE International
    Conference on Recent Trends in Electrical, Control and Communication
    (RTECC 2018), 23–27.
  • Karthik, S., & Saravana Kumar, S. (2018). Profiling-based functional
    verification on a heterogeneous architecture. Journal of Engineering and
    Applied Sciences, 13(7), 1596–1600.
  • Karthik, S., Balaji, S., & Balaji, T. S. (2018). A review on various
    sensors used in IoT for real-time applications. Journal of Engineering
    and Applied Sciences, 13(7), 1601–1605.
  • Karthik, S., Balaji, S., & Babu, A. D. (2017). Space vector PWM
    generation technique using FPGA for three-phase voltage source inverter.
    Journal of Advanced Research in Dynamical and Control Systems, 9(Special
    Issue 18), 1874–1885.
  • Karthik, S., Srividya, N., Swetha, L., & Balaji, S. (2016). E-VLSI lab
    using Raspberry Pi. International Journal of Control Theory and
    Applications, 9(15), 7105–7110.
  • Karthik, S., Priyadarsini, K., & Saravana Kumar, S. (2015). Factors
    affecting the cloud authorization model in cloud computing platforms.
    International Journal of Applied Engineering Research, 10(23),
    43529–43532.
  • Karthik, S., Karthikeyan, R., Prasanna Vishal, T. R., & Vignesh, S.
    (2015). Snitch: Design and development of a mobile robot for
    surveillance and reconnaissance. ICIIECS 2015 – 2015 IEEE International
    Conference on Innovations in Information, Embedded and Communication
    Systems.
  • Karthik, S., Saravana Kumar, S., Murali, G., & Gokulnath. (2015).
    Parallel HDL simulation using heterogeneous FPGA architectures.
    International Journal of Applied Engineering Research, 10(20),
    16853–16856.
  • Karthik, S., Saravana Kumar, S., & Priyadarsini, K. (2015). Comparative
    study of homogeneous and heterogeneous processors in FPGA for functional
    verification. International Journal of Applied Engineering Research,
    10(17), 38358–38361.
  • Karthik, S., Priyadarsini, K., Saravana Kumar, S., & Krishnan, A.
    (2015). Secure dynamic multidimensional cloud confidence for public and
    private networks. International Journal of Applied Engineering Research,
    10(20), 16046–16049.
  • Karthik, S., & Priyadarsini, K. (2015). Parallel HDL simulation using
    heterogeneous FPGA architectures. International Journal of Applied
    Engineering Research, 10(20), 18219–18222.

  • Priyadarsini, K., Karthik, S., & Tamilarasi, R. (2024, November 6-8).
    Empowering Tomorrow\u2019s Cities: Navigating Power Challenges through
    Deep Learning Solutions. International Conference on Electronics,
    Communication and Aerospace Technology (ICECA 2024). RVS Technical
    Campus, Coimbatore, India.
  • Kumar, S., Karthik, S., Srilakshmi, S., & Viginesh, D. P. (2024,
    November 6-8). Performance Analysis of Floyd-Warshall Algorithm:
    Sequential and Parallel Execution Using Intel oneAPI. International
    Conference on Electronics, Communication and Aerospace Technology (ICECA
    2024). RVS Technical Campus, Coimbatore, India.
  • Lakshmi Priya, K., & Karthik, S. (2024, September 18-20). Advancements
    in Tunnel Field-Effect Transistor Structures for Biosensing
    Applications: A Comprehensive Survey. 5th International Conference on
    Smart Electronics and Communication (ICOSEC 2024). Kongunadu College of
    Engineering and Technology, Erode, Tamil Nadu.
  • Anila, A., Prasad, A., & Karthik, S. (2024, May 3). Cardiovascular
    Stress Detection Using Machine Learning. ACE International Conference on
    Applied Science Engineering Technology and Management (AICASETM 2024).
    Alpha College of Engineering, Chennai, Tamil Nadu.
  • Kumar, R. P., Tamilarasi, R., Balaji, T. S., & Karthik, S. (2024, May
    4-5). A Comprehensive Review and Comparative Analysis of TFET and
    DG-JL-TFET. International Conference on Science Technology Engineering
    and Management (ICONSTEM 2024). Jeppiaar Engineering College, Chennai,
    Tamil Nadu.
  • Anila, A., Prasad, A., & Karthik, S. (2024, April 27-28). Cardiovascular
    Stress Detection Using Machine Learning. International Conference on
    Science and Innovative Engineering (ICSIE 2024). Prince Dr. K. Vasudevan
    College of Engineering and Technology, Chennai, Tamil Nadu.
  • Tamilarasi, R., & Karthik, S. (2024, March 15-16). Analyze and Optimize
    the Performance of InGaN-based DG-JL-TFET through Efficient Design and
    Investigation. International Conference on Distributed Computing and
    Optimization Techniques (ICTCOT 2024). SJB Institute of Technology,
    Bangalore, Karnataka.
  • Tamilarasi, R., & Karthik, S. (2023, November 22-24). RF Performance
    Based Comprehensive Review on Homo and Hetero Structure of DG-JL-TFET.
    7th International Conference on Electronics, Communications and
    Aerospace Technology (ICECA 2023). RVS College of Engineering,
    Coimbatore, Tamil Nadu.
  • Tamilarasi, R., Karthik, S., & Edward, S. (2023, November 14-December
    15). A Survey Based on Breaking the Moore’s Law Barriers with Future
    Wireless Communication Systems. 5th International Conference on
    Computing Networks, Big Data, and IoT (ICCBI 2023). CARE College of
    Engineering, Trichy, Tamil Nadu.
  • Saranya, V. G., & Karthik, S. (2023, October 20-22). Comprehensive Study
    on Security Attacks and Its Defense Techniques in Wireless Sensor
    Networks. 4th International Conference on Smart Electronics and
    Communication (ICOSEC 2023). Kongunadu College of Engineering and
    Technology, Trichy, Tamil Nadu.
  • Tamilarasi, R., & Karthik, S. (2023, August 3-5). Machine Learning
    Assisted Device Modelling: A Survey. ICIRCA 2023. RVS College of
    Engineering, Coimbatore, Tamil Nadu.
  • Balaji, S., & Karthik, S. (2020, March 7). ML-Based Energy Prediction
    System Using Internet of Things. 5th International Conference on Smart
    Electronics and Communication (ICOSEC 2020). IEEE, India.
  • Balaji, S., & Karthik, S. (2020, February 1). Energy Prediction System
    Using Internet of Things. National Conference (ICIOT 2020). SRM IST –
    KTR, Chennai, Tamil Nadu.

  • Karthik, S., Tamilarasi, R., Priyadarsini, K., & Jeba Sonia. (2024, April 15). TRI-MATERIAL STRUCTURE OF DOUBLE GATE JUNCTIONLESS TUNNELING FIELD EFFECT TRANSISTOR (DG-JL-TFET) WITH EXTENDED DRAIN REGION (Application No. 202441030342).
  • Tamilarasi, R., Poornima, S., Susandhika, M., Shirly Edward, A., Karthik, S., & Priyadarsini, K. (2024, May 1). HIGH-PERFORMANCE DM-DG-JL-TFET FOR ENABLING EFFICIENT ENERGY HARVESTING APPLICATIONS (Application No. 202441034507A).
  • Karthik, S., Tamilarasi, R., Priyadarsini, K., T. S. Balaji, S. Balaji, Rathinakumar, P., Kavitha, V. P., & Jeba Sonia. (2023, August 2). TRI-MATERIAL BASED STRUCTURE OF DOUBLE GATE JUNCTIONLESS TFET (TMDG-JL-TFET) (Application No. 202341051824).

  • Jeanshilpa, V., Anusooya, D., Karthik, S., & Jagannadha Naidu, K. (2024, June). VLSI Chip Design. Scientific International Publishers.

  • Organized FDP on Synopsys TCAD -19/10/2024
  • Online Certificate course on JAVA Programming- 05/08/2024- 07/08/2024
  • Organized seminar on Embedded IOT -02/08/2024
  • Organized Chip Confluence -02/05/2024
  • Organized workshop on A DEEP DIVE INTO EMBEDDED SYSTEMS AND IOT-8/04/2024
  • Organized seminar on “Low Power Techniques for VLSI Circuits” – 03/10/2023
  • Organized workshop on “Computer vision workshop” – 22.09.2023
  • Organized workshop on “Deep dive into generative AI” – 04/09/2023
  • Organized Workshop on “AI NEXUS” – 14/09/2023
  • Organized webinar on “LITHOGRAPHY” – 21/07/2023
  • Organized seminar on “Job Aspects in VLSI Design”- 31/01/2023
  • Organized STTP on “Connecting People to Semiconductor Industry” – (5/12/2022 to 17/12/2022)
  • Conducted webinar on “Untold Opportunities in VLSI Domain” – 12/02/2022
  • Conducted seminar on “Career Prospects in Electronics and Communication Engineering” on 27-01-2022.
  • Conducted FDP on GUI Based FPGA Programming from 20/12/2021to 24/12/2021

ICREACT

  • Organized ICREACT on 3rd & 4th May 2023
  • Organized ICREACT on 2nd & 3rd May 2022
  • Organized ICREACT on 3rd & 4th May 2021

ABHIGYAN

  • Organized Abhigyan Symposium on 22nd & 23rd , September 2024
  • Organized Abhigyan Symposium on 22nd & 23rd February 2023
  • Organized Abhigyan Symposium on 8th & 9th October 2021
  • Organized Abhigyan Symposium on 5th March 2021

  • Saveetha Engineering College , 25th Oct, 2024 on Topic VLSI Design – Untold Opportunities
  • JNN Group of Engineering, July 8, 2021, on Topic “ASIC Design”
  • SRMIST, Vadapalani, July 11, 2020, on the topic “Data Science”


NPTEL

  • Introduction to IOT
  • Introduction To Industry 4.0 And Industrial Internet Of Things
  • Embedded System Design with ARM
  • Cloud Computing and Distributed Systems
  • Multi-Core Computer Architecture – Storage and Interconnects
  • Introduction to Machine Learning
  • CMOS Digital VLSI Design
  • Python for Data Science
  • Synthesis of Digital Systems
  • C Programming and Assembly Language

Other Platforms

  • Introduction to ML
  • Python Data Structures
  • IoT (Internet of Things)
  • Wireless & Cloud computing: Emerging Technologies
  • Introduction to Artificial Intelligence (AI)
  • An Introduction to Programming the IOT
  • Python Data Structures
  • Nanotechnology

  • SRMIST, Vadapalani, Chennai, Tamil Nadu, India | July 2011 – Present | Associate Professor
  • VIT University, Vellore, Tamil Nadu, India | June2006 – June 2011 | Assistant Professor

  • SRM SERI Seed Grant of Rs.3,70,000 to carry out project on Accelerating Deep learning algorithms.
  • Travel Grant to attend FAP at NTU, USA
  • Faculty Industry Immersion Program at Tessolve Semiconductors, Techindia
  • Travel Grant to Attend FAP at NTU, USA
  • Faculty Industry Immersion Programme at Tessolve Semiconductors
  • Fellowship award to attend the IEEE ITC Test Conference 2022
  • Fellowship award to attend the IEEE ITC Test Conference 2021
  • Fellowship award to attend the IEEE ITC Test Conference 2020
  • Dr. Paarivendhar Research Colloquium 2019 award for the paper “Implementation of ML Algorithm for Dynamic Clocking on Embedded Devices”
  • Dr. Paarivendhar Research Colloquium 2021 award for the paper “Energy Harvesting in IOT Devices: A Survey”
  • Best Research Award for the Year 2019, 2020, or 2021 by SRM IST
  • Silver Medal for the SWAYAM course “C Programming and Assembly Language”
  • Excellent Teacher Award for the Academic Year 2012-2013
  • Selective Innovative Project Award by SRMIST, Vadapalani
  • Excellent award for the Quality Circle presentation at the Quality Circle Forum of India, Chennai Circle
  • Top 10 and Top 20 in the Cadence Design Contest 2009

  • IEEE
  • QCFI