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S.No NAME Year Achievement Affliated body
1 Dr. Karthick.S 2022 Utility model entitled "A Scalable Parallel Web Directory Constructor" has been patented German Patent Office (Grant Certificate No: 202022100124)
2021 Collaborative work on "Virtual Labs". NIT Trichy
2021 Principal Investigator for the Project entitled "Intelligent Banking Kiosk" worth Rs. 32 Lakhs IDRBT, Hyderabad
2021 Won a citation for the 5G Hackathon IDRBT, Hyderabad
2021 Chief Guest for the Investiture Ceremony DPS Miyapur, Hyderabad
2021 Board of Studies Member Thiagarajar College of Engineering, Madurai
2021 Reviewer for Project Proposals, Seed Grants to Faculty. University of Hyderabad
2021 Joint work with Robert Bosch Centre for Data Science & AI, IITM on Representation Learning using Graph Variational Autoencoders, has been accepted Basque Center for Applied Mathematics, Spain.
2021 Research grant from IISC has been sanctioned for developing a Graph Neural Net for causality aware Sentiment Analysis. ARTPARK
2020 GIAN course on “Blockchains” was sanctioned. IIT Kharagpur
2019 Designed, implemented, and evaluated an automated beat monitoring mobile application with a team of students and deployed the Mobile App in Tadepalligudem Police Station. Govt. of Andhra Pradesh
2019 Conferred with the completion certificate of a collaborative project on aspect-oriented sentiment analysis with Enixta R&D. Enixta R&D
2019 Point of Contact in signing the following MoUs: Skylark Labs, US and LinkedIn R&D. Skylark Labs, LinkedIn R&D
2018 SERB’s TARE award in Computer Science and Engineering for the years 2019-2021 for a proposal entitled “Effective modeling and efficient processing of data provenance and context-aware information retrieval of web-scale documents”, Approval No: TAR/2018/000314. SERB
2018 Conferred with the title of “External Research supervisor” in Griffith University, Australia Griffith University, Australia
2018 Point of Contact in signing the following MoUs: Enixta Hyderabad, Juniper Networks Enixta Hyderabad,
Juniper Networks.
2 Dr. Nagesh Bhattu 2021 Principal Investigator for the Project entitled "Intelligent Banking Kiosk" worth Rs. 32 Lakhs IDRBT, Hyderabad
2018 Second in the shared task IECSIL 2018 SIGIR (ACM)
3 Dr. Goutham Reddy. A 2021 Guest talk at the National Science Day Yogi Vemana University, Kadapa
2020 Technical Program Committee Member International Conference on Machine Intelligence and Data Science Applications
2020 Technical Program Committee Member 8th International Conference on Smart City and Informatization
2020 Technical Program Committee Member International Conference on Smart Sustainable Intelligent Computing and Applications
2020 Technical Program Committee Member International Conference on Machine Intelligence and Data Science Applications
2020 Technical Program Committee Member for the International Conference on Machine Intelligence and Data Science Applications MIDAS 2020
2019 Technical Program Committee Member for the 8th International Conference on Smart City and Informatization iSCI 2020
2019 Technical Program Committee Member for the 1st International Conference on Smart Sustainable Intelligent Computing and Applications ICITETM 2020
2019 Technical Program Committee Member for the 5th International Conference on Mathematics & Computing ICMC 2019
2018 Selected as Review Member for the 6th International Conference on Mining Intelligence and Knowledge Exploration MIKE 2018
2018 Selected as Review Member for the 7th International Conference on Smart City and Informatization iSCI 2019

S.No NAME Year Semister Achievement Affliated body
1 Kalidindi Pavan Teja Satya Varma III II Selected for summer internship followed by Direct Ph.D. program at IIT Madras Indian Institute of Technology Madras
2 Abhijath Ande, Vishnu Nair, Ashlan Ahmed III I Conference Paper Accepted IEEE TENSYMP 2021
3 Vaddeti Ankitha, Deepthi Vidiyala,Vineetha Puritipati III I Journal Paper Published Security and Privacy, Wiley
4 Shabaz Shaikh III I Machine Learning projects minor and major Coursera and Verzeo
5 Masabathula V S Raghavendra Rao III I DataScience Intern Exposys Data Labs
6 Challa Lahari III I Co-authored book chapter Elsiever Publishers
7 Challa Lahari III I Co-authored book chapter Taylor and Francis Publishers
8 Challa Lahari III I Selected as a part of 15-member delegation to represent India at VII BRICS Youth summit BRICS Youth summit
9 Prem Sai Padarthi IV I Got All India GATE Rank 6148 GATE-2021
10 Dasari Hema Santhosh Kumar IV I Cleared CAT exam with 96.43% CAT-2021
11 Bashar Jaan Khan IV I Got GRE Rank 335 GRE-2021
12 Ketan Bansal IV I MLOps Researcher SkyLark Labs
13 Mehant K IV I Got a score of 100 out of 200 in TOEFL TOEFL-2021
14 Aman Yadav II I I have founded an e-commerce website name allyours24.in, Mr. Fresher, created apps and websites for my clients None
15 Yaramala RamyaSree II I 1. "TCS certificate for soft skills Carrer edge -knockdown the lockdown"
2. Secured gold badges from hacker rank for C++, python and python basic test certificate from hacker rank
TCS
Hackers Rank
16 HITESH REDDY II I Artificial Intelligence Internship in Verzeo Verzeo
17 Anchula Lalithaditya II I 1."TCS certificate for soft skills Carrer edge -knockdown the lockdown"
2. Secured gold badges from hacker rank for C++, python and python basic test certificate from hacker rank.
TCS
Hackers Rank
18 Talakola Sashank II I Machine learning –Stanford university (july 20) Stanford University
19 Mehant Kommakomati II II 1.Smart India Hackathon-2020 finalist (First time to represent NIT Andhra Pradesh at Grand Finale).
2.Google Summer of code 2020 student (Received a stipend of $3000 and one of the 1200 students globally).
3.GNOME CE Challenge P1 Winner (Received a cash prize of $1000 and one of the 20 winners Globally).
4.Merge URL Research Paper (Paper Published in IJCSMC-Impact factor-1.5).
5.Internship at Dexterity Global and Brand Samosa.
Govt of India
Google
GNOME Foundation
International Journal of Computer Science and Mobile Computing
Dexterity Global and Brand Samosa
20 Ketan Bansal II II AI Researcher at Skylark labs: Working on Detection using Computer vision and Deep learning technologies to identify suspicious events in aerial videos capturing using AI enabled drones. Skylark labs
21 Jaya Amit Sai Gurrala IV II Got GRE Score 317 GRE 2020
22 Harshitha Reddy Kalakotla IV II Got GRE Score 314 GRE 2020
23 Gayathri VLP IV II Got GRE Score 324 GRE 2020
24 D Akhila Aparna IV II Got GRE Score 323 GRE 2020
25 Kaz Phani Rohitha IV II Got GRE Score 309 GRE 2020
26 Muttineni Sreeram IV II Got All India GATE Rank 7326 GATE 2020
27 Thotadi Chaitanya Teja IV II Got All India GATE Rank 6046 GATE 2020
28 Aparacheruvu Prathyusha IV II Got All India GATE Rank 5381 GATE 2020
29 Abhiroop Mokshagna IV II Got All India GATE Rank 5216 GATE 2020
30 G Yachandra Phani Kumar IV II Got All India GATE Rank 5216 GATE 2020
31 Bodduboina Pavan Kalyan IV II Got All India GATE Rank3285 GATE 2020
32 K Saiteja IV II Got All India GATE Rank 884 GATE 2020
33 Vishnu Nagineni IV II Got All India GATE Rank 3085 GATE 2020
34 Karuturi Ramya Sri IV II Got All India GATE Rank 5860 GATE 2020
35 Harshitha Reddy Kalakotla IV II 1. Arizona State University, Ira A. Fulton Schools of Engineering - Masters in Computer Science.
2. Texas A&M University, Dept. of Computer Science and Engineering at Texas A&M University - Masters in Computer Science.
3. University of Florida - Masters in Computer sciences and Engineering at the University of Florida.
4. University at Buffalo, North Campus, Buffalo - Masters in Computer Science
36 Saladi Venkata Sasi Bhushan III II Selected for summer internship followed by Direct Ph.D. program at IIT Madras IIT Madras
37 Gunda Sriharini & Paidipati Krishna Koudinya III I Awarded scholarships by the Swami Dayanand Educational Foundation, located in Noida-201301, India.


  1. Title of the Project : Leveraging Quantum Computing for efficient learning and inference in probabilistic graphical models
    PI : Dr. Karthick Seshadri, Co-Investigators: Dr. Nagesh Bhattu S and Dr. Himabindu K
    Granting Agency : MEITY, Govt. of India
    Year and Tenure : March 2022, Three years

  2. Title of the Project : Design and Evaluation of a Deep Neural Network Framework for Inferring and Ranking Causes for Sentiments in Product Reviews.
    PI : Dr. Karthick Seshadri
    Granting Agency : AI and Robotics Research Park, IISc Bangalore,
    Year and Tenure : Started in September 2021

  3. Title of the Project : Intelligent Banking Kiosk
    PI : Dr. Nagesh Bhattu S and Dr. Karthick S
    Granting Agency : IDRBT
    Amount : Rs. 32 Lakhs
    Year and Tenure : 2 years (June 2021 to May 2023)

  4. Title of the Project : Aspect oriented sentiment analysis
    PI : Dr. Karthick Seshadri
    Granting Agency : Enixta R&D, Hyderabad
    Amount : Rs. 5 Lakhs
    Year and Tenure : Completed in Jan 2020

  5. Title of the Project : A Scalable Resource Requirement Prediction and Provisioning Framework for Elastic Cloud.
    PI : Dr. Karthick Seshadri
    Granting Agency : LinkedIn R&D
    Amount : Rs. 10 Lakhs
    Year and Tenure : August 2020

  6. Title of the Project : Parallel and Distributed Attribute Reduction of Large Data Sets based on Rough Set Theory and Evolutionary Algorithms.
    PI : Dr. Srilatha Chebrolu
    Granting Agency : SERB Project No.: EEQ/2019/00470
    Amount : Rs 27,05,220
    Year and Tenure : 3 years

  7. Title of the Project : Machine Translation for European Languages
    PI : Dr. Karthick Seshadri
    Granting Agency : Enixta R&D
    Year and Tenure : October 2020

International Journals


  1. Sindhu, K., Seshadri Karthick & Kollengode, C. Workload characterization and synthesis for cloud using generative stochastic processes. Journal of Supercomputing, Springer (2022) (https://doi.org/10.1007/s11227-022-04597-y)

  2. Jegan Ramakrishnan, Tingting Liu, Rongrong Yu, Karthick Seshadri, Zhonghua Gou, towards greener airports: Development of an assessment framework by leveraging sustainability reports and rating tools, Environmental Impact Assessment Review, Elsevier, Volume 93, 2022, 106740, ISSN 0195-9255 (https://doi.org/10.1016/j.eiar.2022.106740).

  3. SK Nunna, SN Bhattu, D Somayajulu, NV Kumar Structure-sensitive graph-based multiple-instance semi-supervised learning - Sādhanā, Vol. 46, No. 3, Springer India 2021.

  4. Karthick Seshadri, Aswin M, Mukunthapriya SR, “A scalable parallel algorithm for building web directories, Concurrency and Computation”, Vol. 33, No. 9, May 2021.

  5. Kaza Phani Rohitha, Burre Chandu, Nampally Nihal, K Hima Bindu, "Abusive Language Detection using Customized BERT".

  6. K. Hima Bindu, J. Swarm Intelligence, Special Issue: PCCDS 2020 Building Intelligent Applications Using Machine Learning, Inderscience Publishers.

  7. Kiran Babu Nelatoori, K. Hima Bindu,” Attention-based Bi-LSTM Network for Abusive Language Detection” IETE Journal of Research - Manuscript ID TIJR-2021-0911.

  8. Vaddeti Ankitha, Deepthi Vidiyala, Vineetha Puritipati, Raveendra Babu Ponnuru, Ji Sun Shin, and Goutham Reddy Alavalapati*. "Graphical passwords: Behind the attainment of goals." Security and Privacy 3, no. 6 (2020): e125.

  9. R. Nagarathna, Karthick Seshadri et. al, Deep Learning-based Framework for Smart Sustainable Cities: A Case-study in Protection from Air Pollution, Journal of Intelligent Information Technologies, Vol 15, No. 4, DOI: 10.4018/IJIIT.2019100105, 2019.

  10. Karthick Seshadri, Viswanathan Iyer K, Mercy Shalinie S, Design and evaluation of a parallel document clustering algorithm based on hierarchical latent semantic analysis, Wiley, International Journal of Concurrency and Computation: Practice and Experience, July 2019, https://doi.org/10.1002/cpe.5094.

  11. Karthick S, Alagappan M, Mukunthapriya SR, A scalable parallel algorithm for building web directories, Wiley’s Concurrency and Computation, 2020. (in the pipeline to be published).

  12. Kaza Phani Rohitha, Burre Chandu, Nampally Nihal, and K Hima Bindu, “Abusive or offensive Language Detection using fine-tuned BERT and XLNet”, pages 12, PCCDS2020 paper id 132, NIT Kurukshetra, 01-03 May 2020.

  13. S Nagesh Bhattu, A Potluri, P Kadari, RBV Subramanyam Generalized communication cost efficient multi-way spatial join: revisiting the curse of the last reducer, GeoInformatica, 1-33.

  14. S Nagesh Bhattu, Satya Krishna Nunna, DVLN Somayajulu, Binay Pradhan ,Improving Code-mixed POS Tagging Using Code-mixed Embeddings TALLIP.

  15. Avinash Potluri, S Nagesh Bhattu, NV Narendra Kumar, RBV Subramanyam An Empirical Study on the Significance of Node Ordering for Computing Cliques using Map Reduce, Solid State Technology.

  16. Vaddeti, Ankitha, Deepthi Vidiyala, Vineetha Puritipati, Raveendra Babu Ponnuru, Ji Sun Shin, and Goutham Reddy Alavalapati. "Graphical passwords: Behind the attainment of goals." Security and Privacy: e125.

  17. Nkenyereye, Lionel, Lewis Nkenyereye, Bayu Adhi Tama, Alavalapati Goutham Reddy, and JaeSeung Song. "Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration." Sensors 20, no. 4 (2020): 1092.

  18. Karthick Seshadri, Raja Subramanian, Design and Evaluation of a Hybrid Hierarchical Feature Tree Based Authorship Inference Technique, Advances in Data and Information Sciences, Springer-Singapore, pp. 89-104, December 2018, DOI: 10.1007/978-981-13-0277-0_8.

  19. S. Mercy Shalinie, Sidharth Manohar, S Karthick, A Distributed Parallel Algorithm For Inferring Hierarchical Groups From Large-Scale Text Corpuses, Wiley-Concurrency and Computation: Practice and Experience, June 2018.

  20. GJ Krishna, R Vadlamani, S Nagesh Bhattu, Key Generation for Plain Text in Stream Cipher via Bi-Objective Evolutionary Computing in Applied Soft Computing, 2018

  21. Nazish, Imran Ahmed, Mahreen Kiran, Hamoodur Rehman, Sadia Din, Anand Paul, and Alavalapati Goutham Reddy. "Automatic segmentation of liver & lesion detection using H-minima transform and connecting component labeling." Multimedia Tools and Applications 79, no. 13 (2020): 8459-8481. March, 2019.

  22. Kiran, Imran Ahmed, Nazish Khan, Hamood ur Rehman, Sadia Din, Anand Paul, and Alavalapati Goutham Reddy. "Comparative analysis of segmentation techniques based on chest X-ray images." Multimedia Tools and Applications 79, no. 13 (2020): 8483-8518. March, 2019.

  23. Kiran, Imran Ahmed, Nazish Khan, and Alavalapati Goutham Reddy. "Chest X-ray segmentation using Sauvola thresholding and Gaussian derivatives responses." Journal of Ambient Intelligence and Humanized Computing 10, no. 10 (2019): 4179-4195. April, 2019.

National Journals


  1. S. Nagesh Battu, T. Kurmayya and V. Sandeep “Salient Features and Exit Policies of NEP 2020: A Case Study”, National Conclave on Strategies for Implementation of National Education Policy in NITs, 29 – 30 October 2021.

International Conferences


  1. Rajan S, Karthick Seshadri, B Ravindran, Representation Learning using Graph Neural Nets: A case-study in HMMs, Graph Embedding Track, European Conference on Machine Learning, 2021.

  2. Sastry Yadavilli VRPS, Karthick Seshadri, A framework for predicting item ratings based on Aspect level Sentiment Analysis, International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), IEEE, 2021, Noida, India.

  3. K. Iyer, Karthick S , Adoption of Virtual Laboratories for Computer Science: Deterrents, Enablers and Modalities, 13th annual International Conference on Education and New Learning Technologies, July 2021, Spain.

  4. K. Sindhu and Karthick S, Dimensionality Prediction for Word Embeddings, International Conference on Applications of AI in Engineering, Algorithms for Intelligent Systems, Springer, 2021, India.

  5. Sastry Y, Karthick S, A framework for predicting item ratings based on Aspect level Sentiment Analysis, International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), IEEE, 2021, Noida, India.

  6. Sri Harshini Vissamsetti, Sai Santhoshi Pravallika Kalyanapu, Shiva Charan Naik Jadhav and Himabindu K “Offensiveness Detection in Hinglish Code-Switched Language” Conference: ICC3 2021 (5th International Conference on Computational Intelligence, Cyber security, Computational models)

  7. Abhijath, Vishnu, Ashlan, Alavalapati Goutham Reddy, and Hyun Sung Kim*, “Smart Authentication based on Modified Merkle Puzzles.” IEEE TENSYMP 2021, South Korea.

  8. Raja S, Karthick S, Randomized Gossip Algorithm based RSU Distribution for VANETs leveraging Fog Computing, IEEE International conference on Clean energy and Energy efficient electronics circuit for Sustainable development, KLU Tamilnadu, Dec 2019. DOI: 10.1109/INCCES47820.2019.9167694.

  9. Convex vs Convex-Concave Objective for Rare Label Classification accepted in MIKE 2019, authored by Nagesh Bhattu Sristy, Satya Krishna N, Somayajulu D. V. L. N. and V. Narendra Kumar N

  10. Skew Aware Partitioning Techniques for Multi-Way Spatial Join accepted in MIKE 2019, authored by Prashanth Kadari, Avinash Potluri, Nagesh Bhattu Sristy and Subramanyam R. B. V

  11. IDRBT-team-a@ IECSIL-FIRE-2018 Named Entity Recognition of Indian Languages using bi-LSTM. S Nagesh Bhattu, NS Krishna, DVLN Somayajulu FIRE (Working Notes), 158-165

  12. Design Strategies for Handling Data Skew in MapReduce Framework A Potluri, SN Bhattu, NVN Kumar, RBV Subramanyam International Conference on Inventive Computation Technologies, 240-247

  13. idrbt-team-a@ IECSIL-FIRE-2018: Relation Categorization for Social Media News Text. NS Krishna, S Nagesh Bhattu, DVLN Somayajulu FIRE (Working Notes), 166-173

Book Chapters and Books


  1. Soni, R. K., Seshadri. Karthick, Ravindran, B. (2021, November). Metric Learning for comparison of HMMs using Graph Neural Networks. In Asian Conference on Machine Learning, Singapore (pp. 1365-1380). Proceedings of Machine Learning Research.

  2. Seshadri K., Pavana, C., Sindhu, K., Kollengode, C. (2022). Unsupervised Modeling of Workloads as an Enabler for Supervised Ensemble-based Prediction of Resource Demands on a Cloud. In Advances in Data Computing, Communication and Security (pp. 109-120). Springer, Singapore.

  3. K.V. Iyer and Karthick Seshadri, Adoption of Virtual Laboratories for Computer Science: Deterrents, Enablers and Modalities, Published in Proceedings 13th International Conference on Education and New Learning Technologies, (EDULEARN21), IATED Valencia Spain, 5-6 July, 2021, pp.97-102. [isbn = 978-84- 09-31267-2, doi = 10.21125/edulearn.2021.0041].

  4. Soni, R. K., Seshadri. Karthick, Ravindran, B. (2021, September), Representation Learning using Graph Neural Nets: A Case-study in HMMs, In Graph Embedding Track of the European Conference on Machine Learning, Spain.

  5. S. Ghosh, Karthick Seshadri, A deep neural model to identify rationale behind sentiments in product reviews, International Conference on Applied Computational Intelligence and Analytics, NIT Raipur, Feb 2022.

  6. KiranBabu Nelatoori, K. Hima Bindu, “Evaluation of Word Embeddings for Toxic Span Prediction”, ICTMSA- 2021 International Conference on Technology Management and Societal Applications, Oct 2021.

  7. Sri Harshini Vissamsetti, Sai Santhoshi Pravallika Kalyanapu, Shiva Charan Naik Jadhav and Himabindu K, “Offensiveness Detection in Hinglish Code-Switched Language”, ICC3 2021, 5th International Conference on Computational Intelligence, Cyber security, Computational models, Dec 2021.

  8. V K Hanuman Turaga and Srilatha Chebrolu, “Parallel Computation of Probabilistic Rough Set Approximations”, International Conference on Computational Intelligence, IIIT Pune and Soft Computing Research Society, India, December 2021

  9. Jhansi Lakshmi Durga Nunna, V K Hanuman Turaga and Srilatha Chebrolu, “Extractive and Abstractive Text Summarization Model fine-tuned based on BERTSUM and Bio-BERT on COVID-19 Open Research Articles”, 2nd International Conference on Machine Learning and Big Data Analytics, IIT Patna, 2022

  10. Manikiran Reddy Kommidi, Anudeep Sai Chinta, Tarun Kumar Dachepally and Srilatha Chebrolu, “Identification and Localization of COVID-19 Abnormalities on Chest Radiographs using Ensembled Deep Neural Networks”, 1st International Conference on the Paradigm shifts in Communication, Embedded Systems,Machine Learning and Signal Processing, VNIT Nagpur, May 2022.

  11. Jatin Singh, Govind Prasad Lakhotia, Aerva Shiva and Srilatha Chebrolu, “Brain Tumor Prediction from MRI Images using an ensemble model based on EfficientNet-B2, B4, and ResNet34 architectures”, 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications, NIT Mizoram, June, 2022.

  12. Satya Vandana Nallam, Neha Raj, Madhuri Velpula and Srilatha Chebrolu, “Localization and classification of thoracic abnormalities from chest radiographs using deep ensemble model”, 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications, NIT Mizoram, June, 2022.

  13. Hrishikesh Kumar, Sanjay Velu, Are Lokesh, Kuruguntla Suman, and Srilatha Chebrolu, “Cassava Leaf Disease detection using Ensembling of EfficientNet, SEResNeXt, ViT, DeIT and MobileNetV3 models”, International Conference on Paradigms of Communication, Computing and Data Sciences, MNIT Jaipur, July 2022.

  14. YRPS Sastry, Karthick Seshadri, “A Survey on Aspect Extraction Approaches for Sentiment Analysis”, IGI, 2021

  15. NB Sristy, P Kadari, H Yadamreddy, Query optimization Parallel hierarchical clustering of big text corpora - Handbook of Big Data Analytics: Applications in Ict, Security and Business Analytics, 2021.

  16. K. Sindhu, Karthick S, Book chapter on “Text Summarization: A Technical Overview and Research Perspectives”, to be published in the Handbook of Intelligent Computing and Optimization for Sustainable Development, Scrivener Publishing, 2021. (Accepted).

  17. Sastry Y, Karthick S, “A Survey on Aspect Extraction Approaches for Sentiment Analysis”, Handbook of Research on Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, IGI Global, 2021. (Accepted).

  18. Upendar Rao, Karthick S, "Word Embedding Techniques for Sentiment Analyzers - A Review”, New Opportunities for Sentiment Analysis and Information Processing, IGI Global, 2021. (Accepted).

  19. Title: "Coefficient of Variation for Machine Learning Applications" Authors: K Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao Publisher: CRC Press ISBN-10: 0367273284, ISBN-13: 978-0367273286, January 26, 2020, 120 pages

  20. Nagarathna Ravi, Karthick S, et al. Book Chapter on Leveraging Social Networks for Smart Cities: A Case-Study in Mitigation of Air Pollution, Book Series: Communications in Computer and Information Science 808, Springer, pp. 179–193, 2018.