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Dr. Arti Arya

Professor
  • Teaching

About

Dr. Arti Arya completed her B.Sc. (Hons) in Mathematics in 1994 and M.Sc. in Mathematics in 1996 from Delhi University. She later earned her M.Tech in Computer Science and Engineering from Allahabad Agricultural University and received her Ph.D. in Computer Science Engineering from the Faculty of Technology and Engineering at Maharishi Dayanand University, Rohtak, Haryana, in 2009. She served as a Professor and Head of the MCA Department at PESIT, Bangalore South Campus, until August 2020. Since then, she has been a Professor in the Department of Computer Science Engineering at PES University. With over 24 years of academic experience, including 15 years dedicated to research, Dr. Arya’s expertise spans Spatial Data Mining, Natural Language Processing, Machine Learning, Artificial Intelligence, Graph Neural Networks, Generative AI, Unstructured Data Management, Applied Numerical Methods, and Biostatistics. She is a member of ACM, a life member of CSI, and a Senior Member of IEEE. Additionally, she serves on the reviewer board of several reputed international journals, including SNAM (Springer, Scopus indexed) and IJCDS (Scopus indexed). Dr. Arya has approximately 70 publications in various esteemed international conferences and journals. She is currently guiding 3 PhD scholars. She has supervised approximately 200 undergraduate students for various research projects. Further details can be found on her LinkedIn profile https:// in.linkein.com/in/artiarya.

Education

  • PhD(CSE), Mahrishi Dayanand State University, 2009

  • M.Tech( CSE), Allahabad Agricultural University, 2005

  • M.Sc(Mathematics), Delhi University, 1996

  • B.Sc(Mathematics) Honors, Delhi University, 1994

Experience

  • Professor (CSE), PES University, Aug 2020 - Now

  • Professor and HoD(MCA), PESIT-Bangalore South Campus, Feb 2010 - Aug 2020

  • Assistant Professor (CSE), PESSE, Bangalore, Feb 2009 - Jan 2010

  • Senior Lecturer( Selection Grade), Career Institute of Technology ( Now Manav Rachna International University, Faridabad), 2000 - 2007

  • Lecturer, Career Institute of Technology ( Now Manav Rachna International University, Faridabad), 1998 - 2000

Achievements

  • Senior Member IEEE, Life Member CSI, Member IAENG.

  • Chaired two sessions at ISCON 2019, GLA, UP.

  • Was invited as an Expert Speaker at one week STTP on Advancements in Artificial Intelligence and Machine Learning in March 2021

  • Chaired a session in National Conference at CMRIT, Bangalore in March 2014.

  • Reviewer for Scopus indexed Springer Journal (SNAM).

  • Reviewer for IEEE sponsored ICCES, Egypt Cairo from 2011 to 2016.

  • Chaired a session on Data Mining and Networking in IEEE Conf. IC-IMPETUS 2014. Delivered a talk at a World Congress in Trichy in St. Joseph College, on 01 March 2014. Co-chaired a session in RETCOMP 11-13 Jan2013. Co-Chaired a paper presentation session at 1st Intl. Conf. on Multimedia processing, Communication and Computing Applications (13-15 Dec 2012) at PESIT, Bangalore Delivered a talk on Con

Teaching

  • Machine Intelligence,

  • Natural Language Processing

  • Data Mining,

  • Databases,

  • Advanced Databases,

  • Artificial Intelligence and Gen AI

  • Graph Theory and Graph Machine Learning

  • Managing Big Data,

  • System Simulation and Modeling, Principles of User Interface,

  • Design and Analysis of Algorithms,

  • Management and Information System

  • Engineering Mathematics, Operation Research, Discrete Mathematics, Applied Numerical Methods, Biostatistics

Responsibilities

  • Currently serving as Professor in CSE Dept since Aug 2020.

  • Currently mentoring 15 Undergraduate Project Batches

  • Heading a domain of Artificial Intelligence and Data Science in the Department.

  • Headed MCA dept., involved in all administrative departmental work, coordinating functioning of department properly.

  • As HoD, did all department related activities for uplifting the department.

  • Conducted various Workshops in the college for the benefit of students and faculties.

  • In past years, ICICI Trinity launch is organized under my mentorship in college premises.

  • Was member of BOE (Board of Examination) deputed by University in 2012.

  • Actively participated in BOS meetings and was responsible for developing Course material for one stream (Databases) in MCA curriculum (2013).

  • Conducted Departmental Annual Fest ( for MCA) Esperanza from 2013 to 2017.

  • Took students for Industrial visits to Infosys and CISCO in 2011 and 2012

Research Guidance

  • Currently guiding 3 Research Scholars in the area of Natural Language Processing and Recommendation Engines (Machine Learning)

  • One Research Scholar was conferred PhD under my guidance as a co-guide in the area of Customer Relationship Management Using Machine Learning.

Conferences

  • My latest publications can be found at https://scholar.google.com/citations?hl=en&user=q-f3CEoAAAAJ&view_op=list_works&sortby=pubdate

  • N. Mane, A. Verma and A. Arya, "A Pragmatic Optimal Approach for Detection of Cyber Attacks using Genetic Programming," 2020 IEEE 20th International Symposium on Computational Intelligence and Informatics (CINTI), 2020, pp. 71-76, doi: 10.1109/CINTI51262.2020.9305844.

  • T. Chaitra, S. Agrawal, J. Jijo and A. Arya, "Multi-Objective Optimization for Dynamic Resource Provisioning in a Multi-Cloud Environment using Lion Optimization Algorithm," 2020 IEEE 20th International Symposium on Computational Intelligence and Informatics (CINTI), 2020, pp. 000083-000090, doi: 10.1109/CINTI51262.2020.9305822.

  • Sharma R., Arya T., Arora S., Arya A., Agarwal P. (2019) A Naive Deep Nets Based Approach for Authenticating Viral Textual Content on Social Media. In: Arai K., Kapoor S., Bhatia R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 869. Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_52

  • Tiwari VS, Chaturvedi S, Arya A. Route prediction using trip observations and map matching. In2013 3rd IEEE International Advance Computing Conference (IACC) 2013 Feb 22 (pp. 583-587). IEEE.

  • Tiwari VS, Arya A, Chaturvedi S. Framework for horizontal scaling of map matching: using map-reduce. In2014 International Conference on Information Technology 2014 Dec 22 (pp. 30-34). IEEE.

  • Venkatesh V, Arya A, Agarwal P, Lakshmi S, Balana S. Iterative machine and deep learning approach for aviation delay prediction. In2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) 2017 Oct 26 (pp. 562-567). IEEE.

  • Khatwani S, Arya A. A novel framework for envisaging a learner's performance using decision trees and genetic algorithm. In2013 International Conference on Computer Communication and Informatics 2013 Jan 4 (pp. 1-8). IEEE.

  • Arya A, Agarwal P. Fuzzy Decision Tree based Automatic Classifier for Customer Loyalty. InProc. Of Intl. Conf. on Data Management 2010

  • N. Karunakaran and A. Arya, "A Scalable Hybrid Classifier for Music Genre Classification using Machine Learning Concepts and Spark," 2018 International Conference on Intelligent Autonomous Systems (ICoIAS), Singapore, 2018, pp. 128-135, doi: 10.1109/ICoIAS.2018.8494161.

  • Mishra, A., Jefferson, O. J., Kapur, P., Kannur, K., Agarwal, P., & Arya, A. (2023, June). Swarm Learning In Autonomous Driving: A Privacy Preserving Approach. In Proceedings of the 2023 15th International Conference on Computer Modeling and Simulation (pp. 271-277).

  • Chennur, B. G., Shastry, N., Monish, S., Hegde, V. V., Agarwal, P., & Arya, A. (2022, September). Optimal Scheduling of Processing Unit Using Convolutional Neural Network Architecture. In Proceedings of SAI Intelligent Systems Conference (pp. 478-487). Cham: Springer International Publishing.

  • Vijay, J. S., Kulkarni, K., & Arya, A. (2022, May). Metaheuristic Optimization of Neural Networks for Phishing Detection. In 2022 3rd International Conference for Emerging Technology (INCET) (pp. 1-5). IEEE.

  • Nallamalli, S. K., Shrithva, D. M., Samant, I., Nair, A. A., Agarwal, P., & Arya, A. (2022, April). Automatic Self Calibrated Measurement System Using 3D Modelling. In 2022 IEEE 7th International conference for Convergence in Technology (I2CT) (pp. 1-6). IEEE.

  • Joseph, C. S., Kini, V., Suhas, S., Nagori, D., Arya, A., & Agarwal, P. (2022, April). Metaheuristic Approach for Optimizing Supply-Demand Algorithms. In 2022 IEEE 7th International conference for Convergence in Technology (I2CT) (pp. 1-7). IEEE.

  • Avinash, V. K., Pattanayak, S., Raghuraman, V., Prakash, S., & Arya, A. (2022, April). Length Controllable Literature Summarization Using Transformers. In 2022 IEEE 7th International conference for Convergence in Technology (I2CT) (pp. 1-5). IEEE.

  • Santhosh, S. K., Kayshap, S. R., Lakka, S. R., & Arya, A. (2022, April). Signed English Recognition with Spatio-Temporal Graphs and Language Modelling. In 2022 IEEE 7th International conference for Convergence in Technology (I2CT) (pp. 1-7). IEEE.

  • Bardhan, M., Rishon Manoj, J., Raveendra Acharya, R., Datta, I., & Arya, A. (2022, March). Transferring Learnt Features from Deep Neural Networks trained on Structured Data. In 2022 7th International Conference on Machine Learning Technologies (ICMLT) (pp. 62-67).

  • Durvasula, H., Vrinda Kakarla, S., Thazhemadam, A., Roy, R., & Arya, A. (2022, March). Prediction of Material Properties using Crystal Graph Convolutional Neural Networks. In 2022 7th International Conference on Machine Learning Technologies (ICMLT) (pp. 68-73).

  • Oasis, A. S., Sharma, D., Sada, R., & Arya, A. (2022, January). Question-Centric Evaluation of descriptive answers using attention-based architecture. In 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 20-25). IEEE.

  • Seshu, V., Shanbhag, H., Rao, S. R., Venkatesh, D., Agarwal, P., & Arya, A. (2022, January). Performance analysis of bollinger bands and long short-term memory (LSTM) models based strategies on NIFTY50 companies. In 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 184-190). IEEE.

  • Seshu, V., Shanbhag, H., Rao, S. R., Venkatesh, D., Agarwal, P., & Arya, A. (2022, January). Performance analysis of bollinger bands and long short-term memory (LSTM) models based strategies on NIFTY50 companies. In 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 184-190). IEEE.

  • Nitish, S., Darsini, R., Shashank, G. S., Tejas, V., & Arya, A. (2022, January). Bidirectional encoder representation from transformers (bert) variants for procedural long-form answer extraction. In 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 71-76). IEEE.

  • Kishore, B. R., Amogh, V. R., Vrushab, S., Kumar, C. A., & Arya, A. (2022, January). Enhancing the Coherence of a Meta Search Engine using Genetic Algorithm. In 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (pp. 1562-1568). IEEE.

  • Abishai Ebenezer, M., & Arya, A. (2022). An Atypical Metaheuristic Approach to Recognize an Optimal Architecture of a Neural Network. In ICAART (3) (pp. 917-925).

  • Ramesh, N., Dabbiru, S., Arya, A., & Rehman, A. (2021, November). A Novel Rule-Based Recommender System For The Indian Elderly Diabetic Population. In 2021 5th International Conference on Informatics and Computational Sciences (ICICoS) (pp. 41-46). IEEE.

  • My latest publications can be found at https://scholar.google.com/citations?hl=en&user=q-f3CEoAAAAJ&view_op=list_works&sortby=pubdate

Journals

  • Pathak K, Arya A, Hatti P, Handragal V, Lee K. A Study of Different Disease Detection and Classification Techniques using Deep Learning for Cannabis Plant. International Journal of Computing and Digital Systems. 2021 Jan 1;10(1):53-62.(SCOPUS Indexed)

  • Tiwari, V.S., Arya, A. Distributed Context Tree Weighting (CTW) for route prediction. Open geospatial data, softw. stand. 3, 10 (2018). https://doi.org/10.1186/s40965-018-0052-9 (SCOPUS Indexed)

  • Pooja A, J Surya P, Arti A. A Na�ve Hopfield Neural Network based Approach for Multiclass Classification of Customer Loyalty. Communications on Applied Electronics (CAE) � ISSN : 2394-4714,Foundation of Computer Science FCS, New York, USA, Volume 2 � No.5, July 2015 � www.caeaccess.org

  • Prasad MC, Florence L, Arya A. A study on software metrics based software defect prediction using data mining and machine learning techniques. International Journal of Database Theory and Application. 2015;8(3):179-90.

  • Punagin S, Arya A. Privacy in the age of pervasive internet and big data analytics�Challenges and opportunities. International Journal of Modern Education and Computer Science. 2015 Jul 1;7(7):36-47.

  • Subhashini C, Arya A. A Framework For Extracting Information From Web Using VTD-XML's XPath. International Journal on Computer Science and Engineering. 2012 Mar 1;4(3):463.

  • Arya A, Ragini S, Kumar H, Abinaya G. A text analysis based seamless framework for predicting human personality traits from social networking sites. International Journal of Information Technology and Computer Science (IJITCS). 2012;4(10):29.

  • Arya A, Yaligar V, Prabhu RD, Reddy R, Acharaya R. A knowledge based approach for recognizing textual entailment for natural language inference using data mining. International Journal on Computer Science and Engineering. 2010 Nov;2(06):2133-40.

  • Tiwari, V.S., Arya, A. Horizontally scalable probabilistic generalized suffix tree (PGST) based route prediction using map data and GPS traces. J Big Data 4, 23 (2017). https://doi.org/10.1186/s40537-017-0085-4(SCOPUS Indexed)

  • Sharma, R., & Arya, A. (2023). LFWE: L inguistic F eature Based W ord E mbedding for Hindi Fake News Detection. ACM Transactions on Asian and Low-Resource Language Information Processing.

  • Vishnu Shankar Tiwari, Sudha Chaturvedi, Arti Arya, "Map reduce-based scalable Lempel-Ziv and application in route prediction" In Intl. J, of Big Data (IJDB, Inderscience)

Books

  • Tiwari, V.S., Arya, A. Horizontally scalable probabilistic generalized suffix tree (PGST) based route prediction using map data and GPS traces. J Big Data 4, 23 (2017). https://doi.org/10.1186/s40537-017-0085-4 (SCOPUS Indexed)

  • Sharma, R., Agarwal, P., & Arya, A. (2022). Natural language processing and big data: a strapping combination. In New Trends and Applications in Internet of Things (IoT) and Big Data Analytics (pp. 255-271). Cham: Springer International Publishing.

Others

  • Prem, A., Joshi, A., Madana, H., Jaywanth, J., & Arya, A. (2023, March). Attention Based Evolutionary Approach for Image Classification. In 2023 15th International Conference on Computer and Automation Engineering (ICCAE) (pp. 237-243). IEEE.

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