Jaypee Institute of Information Technology, Noida
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  • Dr. Vinay Anand Tikkiwal
Assistant Professor (Senior Grade)
vinay.anand@jiit.ac.in

Education

Ph.D,M.S.,B.E.

Biography

Vinay Tikkiwal received his Bachelor of Engineering (B.E.) degree in Electronics and Communication Engineering from M.B.M. Engineering College, Jai Narain Vyas University, Jodhpur, Rajasthan in 2005 and Masters’ degree in micro-electronics from the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore in 2012. Presently, he is an Assistant Professor in the Department of Electronics and Communication Engineering, JIIT, Noida.

Interest Area(s)

Renewable Energy and Microelectronics.

Work Experience

15 years (Industrial experience: 4 years, Teaching and Research: 11 years)

Publications

Journals:

  • Sunder, M.S.S., Tikkiwal, V.A., Kumar, A., Tyagi, B., “Unveiling the Transparency of Prediction Models for Spatial PM2.5 over Singapore: Comparison of Different Machine Learning Approaches with eXplainable Artificial Intelligence”, AI, vol. 4, pp.787-811, 2023.
  • Chandola, D., Mehta, A., Singh, S. et al., “Forecasting Directional Movement of Stock Prices using Deep Learning” Ann. Data. Sci. 10, 1361–1378, 2023.
  • Pandey, A.C., Tikkiwal, V.A., “A Stance detection using improved whale optimization algorithm”, Complex & Intelligent Systems, vol. 7, pp. 1649-1672, 2021. 
  • Pilani A., Mathur K., Agrawal, H., Chandola, D., Tikkiwal, V.A., Kumar A., “Contextual Bandit Approach-based Recommendation System for Personalized Web-based Services”, Applied Artificial Intelligence, vol. 35 (7), pp. 489-504, 2021.           
  • Prasanth S., Singh U., Kumar, A., Tikkiwal, V.A., Chong, P., “Forecasting spread of COVID-19 using google trends: A hybrid GWO-deep learning approach”, Chaos Solitons Fractals, vol. 142, 110336, 2021.
  • Tikkiwal, V.A., Singh, S.V., Bisht, D. and Gupta, H.O, “Multiobjective optimisation of a grid-connected hybrid PV-battery system considering battery degradation”, International Journal of Sustainable Engineering, vol. 14:6, pp.1769-1779, 2021.   
  • Chawla, S., Tikkiwal, V.A., “Performance evaluation and degradation analysis of different photovoltaic technologies under arid conditions”, International Journal of Energy Research, vol. 45 (1), pp. 786- 798, 2021.
  • Nityanshi, Mathur T., Tikkiwal, V.A., Nigam K., “Feasibility analysis of a solar- assisted electric vehicle charging station model considering differential pricing”, Energy Storage, 3(4), e237, 2021.
  • Tikkiwal, V.A., Singh, S.V., Gupta, H.O, “Optimization of PV Based Standalone Hybrid Energy System using Cuckoo Search Algorithm”, Recent Advances in Computer Science and Communications, vol. 13 (3), pp. 414-421(8), 2020.
  • Kumar, S., Singh, K., Nigam, K., Tikkiwal, V.A. and Chandan, B.V., “Dual-material dual-oxide double-gate TFET for improvement in DC characteristics, analog/RF and linearity performance”, Applied Physics A, 125(5), pp.1-8, 2019
  • Chandan, B.V., Nigam, K., Sharma, D. et al., “A novel methodology to suppress ambipolarity and improve the electronic characteristics of polarity-based electrically doped tunnel FET”, Appl. Phys. A vol. 125, 81, 2019.
  • Tikkiwal, V.A., Singh, S.V., Bisht, D. and Gupta, H.O., “Adaptive neuro-fuzzy approach for prediction of global solar radiation for 25 cities falling under seven Köppen climatic zones”, International Journal of Computer Aided Engineering and Technology, 15(4), pp.501-515, 2021.
  • Chandan, B.V., Gautami, M., Nigam, K. et al., “Impact of a metal-strip on a polarity-based electrically doped TFET for improvement of DC and analog/RF performance”, J Comput. Electron. vol. 18, pp. 76–82, 2019.
  • M-Panah, S., Tikkiwal, V.A., “Velocity enhancement in APDs with sub-100-nm       multiplication region”, Optics Communications, vol. 346, pp. 167–171, 2015.  

Conferences:

  • M. Tripathi, Hari, V. A. Tikkiwal, B. Tyagi, A. Kumar, "Multi-Horizon Forecasting of Average Daily PM2.5 Concentration: A Case Study of Air Pollution in Singapore," 2023 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), Hyderabad, India, 2023, pp. 296-302.
  • V. A. Tikkiwal, S. Vir Singh and H. O. Gupta, "Day-ahead forecasting of solar irradiance using hybrid improved Cuckoo Search-LSTM approach," 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), Greater Noida, India, 2020, pp. 84-88.
  • M. Vijh, D. Chandola, V. A. Tikkiwal, A. Kumar, “Stock Closing Price Prediction using Machine Learning Techniques, Procedia Computer Science,Volume 167, 2020, pp. 599-606.
  • Deeksha Chandola, Harsh Gupta, V. A. Tikkiwal, Manoj Kumar Bohra, “Multi-step ahead forecasting of global solar radiation for arid zones using deep learning, Procedia Computer Science, Volume 167, 2020, Pages 626-635.
  • V. A. Tikkiwal, S. Vir Singh and H. O. Gupta, "Day-ahead forecasting of solar irradiance using hybrid improved Cuckoo Search-LSTM approach," 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), Greater Noida, India, 2020, pp. 84-88
  • H. Gupta, D. Bhardwaj, H. Agrawal, V. A. Tikkiwal and A. Kumar, "An IoT Based Air Pollution Monitoring System for Smart Cities," 2019 IEEE International Conference on Sustainable Energy Technologies and Systems (ICSETS), Bhubaneswar, India, 2019, pp. 173-177.
  • D. Nishad, K. Nigam, V. A. Tikkiwal and S. Kumar, "Performance Analysis of Double Gated GaAs-Ge Based Hetero Tunnel Field Effect Transistor," 2020 6th International Conference on Signal Processing and Communication (ICSC), Noida, India, 2020, pp. 284-287
  • T. Mathur, V. A. Tikkiwal, T. Gupta, S. Gupta and A. Kumar, "Optimized Grid-Connected Hybrid Energy System Configurations for Telecom Applications in Arid Conditions of Thar Desert," 2019 IEEE International Conference on Sustainable Energy Technologies and Systems (ICSETS), Bhubaneswar, India, 2019, pp. 219-223.
  • J. K. Mishra, S. Goyal, V. A. Tikkiwal and A. Kumar, "An IoT Based Smart Energy Management System," 2018 4th International Conference on Computing Communication and Automation (ICCCA), Greater Noida, India, 2018, pp. 1-3.
  • V. A. Tikkiwal, P. Kwatra, S. V. Singh, D. Chandola and H. Gandhoke, "A Review on Sputter Deposited CZTS based Thin Film Solar Cells," 2018 International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India, 2018, pp. 400-404.
  • S.Kumar, V.A.Tikkiwal, H.Gupta,“ Read SNM free SRAM cell design in deep submicron technology”, International Conference on Signal Processing and Communication (ICSC-2013), Noida, India, pp. 375-380, Dec. 12-14, 2013

Selected FDPs/STCs/Workshops

  • STC “Security in Artificial Intelligence: Strategies and Best Practices”, NITJ, Jalandhar (2023).
  • STC “Machine Learning for Data Analytics using Python: Hands-on Approach”, NITJ, Jalandhar (2023)
  • STC “ML for electron devices”, IITR, Roorkee (2022).
  • Workshop “Computational Intelligence” (NWCI-2019), JIIT, Noida (2019).
  • Workshop “Nature Inspired Optimization Techniques”, South Asian University, New Delhi (2016).
  • International Workshop “Big Data Analytics”, JNU, New Delhi (2016).
  • IEEE EDS Workshop “MEMs Prototyping, RFMEMs fabrication, Design and Modeling”, IITR, Roorkee (2015).
  • Fourth National Workshop “Recent trends in Semiconductors Devices and Technology”, DDUC, University of Delhi (2014).
  • IEEE SSCS Delhi Chapter – Distinguished Lecture Colloquia Invite, ST Microelectronics Pvt. Ltd., Greater Noida (2014).      
  • INUP Hands-on Training Workshop “Nanofabrication Technologies”, IIT Bombay Department of Information Technology (DIT), Govt. of India (2013).