Distributed Computing Systems, Concurrent Algorithms, Mobile Computing

Latest Topic of Interest: Applying AI and Machine Learning Techniques for System and Network Security Other Areas of Interest: Software Defined Networking, Cyber Security, Blockchain, Wireless Sensor Networks, Semantic Web, Cloud Computing, Internet of Things, Operating Systems, Data Structures, Programming (Also refer to our recent book “Security and Privacy Issues in Sensor Networks and IoT” (IGI Global), 2019, DOI: 10.4018/978-1-7998-0373-7).

Teaching Interests: Data Structures, Design & Analysis of Algorithms, Competitive & Efficient Programming, Machine Learning, Programming in C C++, Software Design & Development, Software Engineering & Project Development, Operating Systems, Data Bases, Object Oriented Systems, Software Testing.

My Video Lectures on Data Structures & Algorithms available on YouTube Channel: @JitenderKrChhabraProfCseNITKKR

Data Str Playlist: https://www.youtube.com/watch?v=fjLJwypxLFs&list=PL82bhWqRpcuc4OhxBC0qGB8XTfn4ulrLg

Algo Playlist: https://www.youtube.com/watch?v=c8uhnJOrXiI&list=PL82bhWqRpcud1xDmBZE89Oogm1p21N7Yq

Research Interests: Software Engineering, Soft Computing, Software Metrics, Machine Learning & AI in S/w Engg, Clustering and Mining

Experience : 30 years (Teaching alongwith Research )

Books Published: Total 3 (Coauthor of World-famous Schaum Series Book from McGraw Hill titled “Programming with C” Byron Gottfried, USA & Jitender Kumar Chhabra. 4th Edition; Another book for learning depth of coding: ”Conceptual Programming Tips for Interviews and Competitive Exams”, McGraw Hill)

Intellectual Property Rights: Patents : Total 10 (4 granted + 6 published) Copyrights: Six granted

Publications : Total 166 (SCI/Scopus indexed International Journals: 61, Others and National Journals: 19, Book Chapters & Procedia, LNCS etc: 24, International Conferences: 46, National Conferences: 16)

Reviewer for Journals : IEEE Transactions, ACM Transactions, Elsevier, Springer, Wiley, Taylor & Francis, Inderscience etc.

Ph.Ds Supervised : Completed: 6 (each with 3 or more SCI publications reputed journals); New Admissions: I will accept 1 candidate for PhD who is sincere, hard-working and ready for quality-work

Research Project: Project entitled “Design and Development of a Novel Approach (non-cryptographic) for Secure Storage on External Media and Lossless Retrieval”, funded by DRDO Govt of India, completed.

Speech Processing, Machine Learning, Soft Computing, Quality Life Management, Science & Spirituality

General:   Database systems, data mining, information retrieval, big data, requirements engineering.

Specific:  Data models, schema design, schema management, data integration, dataspace, sentiment analysis, recommender systems, question answering systems.

Information Security, Computer Networks, Internet of Things, Wireless Sensor Networks, Cyber Security, IoT Security, Adhoc Network Security, WSN Security, Key Management and Distribution Other Areas of Interest: Cyber defense and vulnerability, Cloud Security, Mobile Computing, Digital Forsenics

Speech Processing, Pattern Recognition, Image Processing, Natural Language Processing, Soft Computing, Multimedia Security, Machine Learning, Image and Video Encryption

Teaching Interests: Design & Analysis of Algorithms, Data Structures, Database Management System, Operating system.

Research Interests: Cloud/Fog Computing, IoT, Soft Computing, Machine learning, Security etc

Digital Signal Processing, Digital Image Processing, Soft-Computing, Machine Learning

Teaching Interest: Database Systems, Data Mining & Data Warehouse, Information Science (Retrieval & Web Search), Human-Computer Interaction (HCI).

Current Research Activities: Exploratory Data Analytics, Human-Information-Interaction, Neural Models for Interactive Information Search,  Large Language Models (LLM), Soft Data Analytics & evaluation (Sentiment, Micro-Emotions/Micro-expression), Social Network Science & Applications, ML/DL & AI for real-world Scenarios.

Access ‘E-content’ (recorded lectures of two courses), ‘Information Retrieval & Web Search‘ and‘ Database Systems‘.

(last updated: 24 June 2024)

Distributed Computing, Mobile Computing, Wieless Networks, Cognitive Radio Networks

Data Mining, Recommender Systems, and Java Technology

Cyber and Web Security, Mobile Security, Internet of Things, Machine Learning, DDoS Detection, Online Social Networks Analysis,

Machine Learning Image Processing Medical Imaging Algorithms and Data Structure Computational theory

C, C++, NS2, Data Structure, Unix and Linux Programming, Wireless Ad hoc Network, Mobile Computing, Distributed Computing, and Cognitive Radio networks.

Information Security Cloud Security Privacy Preserving in Data Publishing Computer Networks Network Security

Cloud Computing, Distributed Systems

Pattern Recognition and Machine Learning, Biometric, Computer Vision, Deep Learning

Artificial Intelligence for social good, Knowledge Engineering and Semantic Web, Applications of Machine/Deep Learning in Text Processing

Experience : Worked as an Assistant Professor in the Department of Computer Science & Engineering of NIT Warangal. (From 09-April-2018 to 21-Nov-2022)

Working on nature inspired intelligent algorithms. Applications in machine learning and image processing.

Software Security, Software Engineering, Natural Language Processing, Applied Machine Learning, Big Data Analytics.

– Erdos Number: 4 (Kuldeep Kumar – Stanislaw Jarzabek – Tomasz Krawczyk – William T. Trotter, Jr – Paul Erdos).
– PhD Work listed in the Software Engineering repository maintained by ACM.
– Recipient of the Early Adopter Award by CDER USA and the Early Career Research Award by DST, Govt of India.
– Involved in the development of tools and techniques in-use by Software Industry.

Data Science with a focus on Biological Data Analysis and Drug discovery, Text Data Mining

Dr. Lov Kumar is currently working as Assistant professor in the Department of Computer Engineering , NIT Kurukshetra . He received his Ph.D. in Computer Science and Engineering from NIT Rourkela, under the supervision of Prof. S. K. Rath. His current research interests are in the area of Mining Software Repositories, Software Analytics, and Social Media Analytics. His thesis is titled “Predicting Software Quality Parameters using Artificial Intelligence Techniques and Source Code Metrics”. He was a Faculty Member (at Thapar University) from Aug 2017 to Dec 2017 and BITS Pilani from Jan 2018 to Jan 2023. He has delivered over 60 invited talks, over 100 international refereed publications in international conferences and journals, and four published book chapter to his credit.  He has won several other awards including the Young Scientist Award, Best Researcher Award, and best paper Award. He has a broad range of interests and hobbies. He loves to play cricket, read books, play chess, and solve Sudoku puzzles. 

Research Area: Software Engineering, Machine Learning, Mining Software Repositories, Software Analytics, and Social Media Analytics

Teaching Experience

• Jan 2023-  Till Date:    Assistant Professor Gr-1, National Institute of Technology, Kurukshetra                                     Subjects Taught:  Database Management System, Data Mining
• Jan 2018- Jan 2023:    Assistant Professor, Birla Institute of Technology & Science, Pilani – Hyderabad                       Subjects Taught:  Database Management System, Data Mining, Secure Software Engineering, Database Security, Computer Programming, Machine Learning, Advance Data Mining 
• Aug 2017- Dec 2017: Lecturer, Thapar Institute of Engineering and Technology, Patiala                                              Subjects Taught: Discrete Mathematics, C Lab 

Vehicular Communication, Software Defined Networking, Applying AI and Machine Learning in CPS applications, Medical Image Watermarking.

Machine Learning, Deep Learning, Image processing and NLP.

Computer Vision, Image Forensics, Image Processing,  Multispectral Imaging, Applied Deep Learning, and Machine Learning

Research Areas: Computer Vision, Machine Learning, Artificial Intelligence, Image Processing, NLP, Surplus Food Distribution, Smart City

Teaching Experience: Assistant Professor, KIIT University, Bhubaneswar, Odisha (January ’22 to Aug ’23)

Publications:

Journals (SCI): 5, International Conferences: 5, Book Chapters: 2

Google Scholar Profile:

1. Sanyal, B., Mohapatra, R. and Dash, R., 2023. Indian TSR for partial occlusion using GDNN. Multimedia Tools and Applications, pp.1-16.
2.  Sanyal, B., Kumar Mohapatra, R. and Dash, R., 2022. Traffic sign recognition on Indian database using wavelet descriptors and convolutional neural network ensemble. Concurrency and Computation: Practice and Experience, 34(10), p.e6827.
3.  Sanyal, B., Mohapatra, R.K. and Dash, R., 2021. Real-time embedded TSR using MDEffNet: An efficient compact DNN on varied multi-resolution images across multiple databases. International Journal of Wavelets, Multiresolution and Information Processing, 19(03), p.2050082.
4.  Sanyal, S., Kumar Singh, V., Xhafa, F., Sanyal, B. and Mukhopadhyay, S., 2021. A game theoretic framework for surplus food distribution in smart cities and beyond. Applied Sciences, 11(11), p.5058.
5.  Sanyal, S., Mukhopadhyay, S., Xhafa, F., Singh, V.K. and Sanyal, B., 2022, August. An incentive framework for surplus food distribution in the context of smart cities. In International Conference on Network-Based Information Systems (pp. 35-47). Cham: Springer International Publishing.

Social Network Analysis, Natural Language Processing, Graph Mining, Machine Learning

Cyber Security, Malware Analysis, Malware Detection, Phishing Detection, IoT, Machine Learning, Deep Learning

Wireless Sensor Networks, Ad-hoc Networks, Internet of Things, Machine Learning, Deep Learning, Cyber-Physical Systems.

Machine Learning, Deep Learning, Bioinformatics, Blockchain, Software Engineering and Image Processing.

Software Engineering, Machine Learning, Artificial Intelligence, Optimization Algorithms.

Machine Learning, Active Machine Learning, Deep Learning, Active Deep Learning,

Image Processing