• Name of Faculty:Dr. Prerna Diwan, Dr. Salome John, Dr. Neeraj Kumar Sharma
Title: Prospecting biologically active antibacterial compounds from plant extracts against Multi-drug resistant strains
Duration:1 Year(2015-16)
Amount:5.5 Lakh
Funding Agency:University of Delhi

• Name of Faculty:Neeraj Kumar Sharma (P.I.), Dr. Sanjeev Sharma (Co-PI,RMLHospital), Prof. Rakesh Kr. Gupta (Co-PI)
Title: Assessment and Monitoring of Anesthesia using Explainable AI
Duration:1.5 Years (Feb 2023 onwards)
Amount:19.5 Lakh
Funding Agency:Indian Council of Medical Research (ICMR)

• Supervised undergraduate student projects

• Convener/Co-Convener of DepartmentAdmissions Committee from 2004 till now.

• Teacher In-Charge of the departmentin 2005-06, 2007-08, 2009-10, Jan 2011-April 2011, 2014-15, Nov. 2015-16, 2016-17, 2018-19, 2020-21

• Artificial Intelligence

• Machine Learning

• Trust and Reputation System

• Computer Networks

• Artificial Intelligence

• Theory of Computation

• Neeraj Kumar Sharma, Sakeena Shahid, Subodh Kumar, Sanjeev Sharma, Naveen Kumar, Tanya Gupta and Rakesh Kumar Gupta, “XAI-VSDoA: An Explainable AI-Based Scheme Using Vital Signs to Assess Depth of Anesthesia”, IEEE Access, Vol. 12 (2024), URL:
https://ieeexplore.ieee.org/abstract/document/10646331
Indexed: Web of Science & Scopus, IF: 3.4, SCIE, Scopus cite score: 9.8.

• Sakshi Taaresh Khanna, Sunil Kumar Khatri and Neeraj Kumar Sharma, “Explainable AI integrated Fuzzy Rule-Based Machine Learning and Nonlinear Variation Inequalities for Oral Cancer Disease Detection and Treatment Methodology in Healthcare”, 1092-910X, Advances in Nonlinear Variational Inequalities, ISSN: 1092-910XVol 28 No. 1s (2025),
Doi: https://doi.org/10.52783/anvi.v28.2439

• Sakshi Taaresh Khanna, Sunil Kumar Khatri and Neeraj Kumar Sharma, “Enhancing Mathematical Optimization in Intensity-Modulated Radiation Therapy with Artificial Intelligence and Machine Learning”, South Eastern European Journal of Public Health, ISSN: 2197- 5248, 1831-1840, 2024.
DOI: https://doi.org/10.70135/seejph.vi.2703

• Sakshi Taaresh Khanna, Sunil Kumar Khatri and Neeraj Kumar Sharma, “Neutrosophic ANFIS Machine Learning Model and Explainable AI Interpretation in Identification of Oral Cancer from Clinical Images”, International Journal of Neutrosophic Science 24 (2), 198-221, 2024.
DOI: https://doi.org/10.54216/IJNS.240218

• Sakshi Taaresh Khanna, Sunil Kumar Khatri and Neeraj Kumar Sharma,, “Neutrosophic Meta SHAP and Neutrosophic Meta LIME: An Efficient Framework for Explainable AI in Oral Cancer Detection”, International Journal of Neutrosophic Science 23 (3), 237-254, 2024.
DOI: https://doi.org/10.54216/IJNS.230328

• Subodh Kumar, Neeraj Kumar Sharma*, and Naveen Kumar. “WSOmark: An Adaptive Dualpurpose Color Image Watermarking using White Shark Optimizer and Levenberg-Marquardt BPNN”. Expert Systems with Applications 226 (2023): 120137.
Indexed: Web of Science & Scopus, IF: 8.67, SCIE, Scopus Cite Score: 12.6

• Neeraj Kumar Sharma, Subodh Kumar*, and Naveen Kumar. "HGSmark: An efficient ECG watermarking scheme using hunger games search and Bayesian regularization BPNN". Biomedical Signal Processing and Control 83 (2023): 104633.
Indexed: Web of Science & Scopus, IF: 5.1, SCIE, Scopus Cite Score: 8.

• Ankit Rajpal, Subodh Kumar, Neeraj Kumar Sharma*, Ajith Abraham, Anurag Mishra, and Naveen Kumar. "CXRmark: A Watermarking Scheme for Chest X-Rays using Online Sequential Reduced Kernel ELM ". Circuits Systems and Signal Processing (2023). DOI: https://doi.org/10.1007/s00034-023-02491-3
Indexed: Web of Science & Scopus, IF: 2.3, SCIE, Scopus Cite Score: 4.8.

• Subodh Kumar, Ankit Rajpal, Neeraj Kumar Sharma*, Sheetal Rajpal, Anand Nayyar, and Naveen Kumar. "ROSEmark: Robust semi-blind ECG watermarking scheme using SWT-DCT framework".
Digital Signal Processing 129 (2022): 103648.
Indexed: Web of Science & Scopus, IF: 3.1, SCIE, Scopus

• Neeraj Kumar Sharma, Subodh Kumar, Ankit Rajpal, & Naveen Kumar. (2022). “MantaRayWmark: An image adaptive multiple embedding strength optimization based watermarking using Manta Ray Foraging and bi-directional ELM”. Expert Systems with Applications, Vol. 200 (2022), Article No. 116860, ISSN: 0957-4174, DOI: https://doi.org/10.1016/j.eswa.2022.116860.
Indexed: Web of Science & Scopus, IF: 8.67, SCIE, Scopus Cite Score: 12.6.

• Neeraj Kumar Sharma, Vibha Gaur, & Punam Bedi. (2016). Safeguarding Buyers with AttackResilient Reputation Parameters. Journal of Theoretical and Applied Electronic Commerce Research, 11(1), 46-66, ISSN: 0718-1876 (Electronic Version).
Indexed: Web of Science & Scopus, IF: 5.32, Scopus Cite Score: 3.1

• Neeraj Kumar Sharma, Vibha Gaur, & Punam Bedi. (Sept. 2014). “Improving Trustworthiness in EMarket Using Attack Resilient Reputation Modeling”. International Journal of Intelligent Information Technologies (IJIIT), 10(3), 57-82, Publisher: IGI Global, ISSN: 1548-3657 (print), 1548-3665 (online).
Indexed: Web of Science and Scopus, IF: 0.244, Scopus Cite Score: 1.8

• Neeraj Kumar Sharma, Vibha Gaur, & Punam Bedi. (Jan. 2014). “A Dynamic Personalised Product pricing Strategy using Multiple Attributes in Agent mediated e-market - A Neural Approach”. International Journal of Information and Decision Sciences (IJIDS), 6(1), 46-69, ISSN: 1756-7025 (online), 1756-7017 (print).
Indexed: Web of Science and Scopus, IF: 0.181, Scopus Cite Score: 1.2

• Neeraj Kumar Sharma, Vibha Gaur, & S. K. Muttoo. (2012). A Dynamic Reputation System with Built-in Attack Resilience to Safeguard Buyers in e-market. ACM SIGSOFT, Software Engineering Notes, 37(4), 1-19, ISSN: 0163-5948.
Indexed: ACM Digital Library, DBLP Computer, Google Scholar, among others.

• Vibha Gaur, Neeraj Kumar Sharma, & Punam Bedi. (2011b). A Dynamic Model for Sharing Reputation of Sellers among Buyers for Enhancing Trust in Agent Mediated e-market. International Journal of Computer Science Issues 8(6), 1-10.
Indexed: Scribd, CiteSeer, DOAJ, SciRate.com, Docstoc, Google Scholar, DBLP, arXiv.org, SCIRUS

• Vibha Gaur, & Neeraj Kumar Sharma. (2011b). A Dynamic Framework of Reputation Systems for an Agent Mediated e-market. International Journal of Computer Science Issues 8(4), 77-89.
Indexed: Scribd, CiteSeer, DOAJ, SciRate.com, Docstoc, Google Scholar, DBLP, arXiv.org, SCIRUS

• Vibha Gaur, Neeraj Kumar Sharma, & Punam Bedi. (2011a). A Dynamic Reinforcement Learning Strategy for Seller Agents in e-market. International Journal on Recent Trends in Engineering & Technology 5(1), 25-31.

S.No.TitleDate of PublicationLevel (National / International)1REVERSIBLE WATERMARKING DEVICE FOR CHEST X-RAYS (UK Design No. 6348503)01 March 2024International: United Kingdom (UK)2IOT BASED BLOOD OXYGEN SATURATION METER (Design No. 382818-001)26th May 2023National: Government of India3BLEEDING RECOGNITION TECHNIQUE IN WIRELESS CAPSULE ENDOSCOPY IMAGES USING FUZZY LOGIC AND PRINCIPAL COMPONENT ANALYSIS30th Dec. 2022National: Government of India

• Neeraj Kumar Sharma, Sakeena Shahid, Subodh Kumar, Sanjeev Sharma, Tanya Gupta, Rakesh Kumar Gupta and Naveen Kumar, “Depth of Anesthesia Prediction using PPG signals”, 2nd International Conference on Artificial Intelligence: Theory and Applications (AITA 2024) held at IBS Bangalore (9th-10th August 2024). (To be published in Springer Series: Lecture Notes in Networks and Systems (Scopus Indexed)).

• Subodh Kumar, Neeraj Kumar Sharma and Naveen Kumar, “A DST-DCT Based Adaptive Color Image Watermarking Scheme Using Coati Optimization Algorithm“, 2nd International Conference on Artificial Intelligence: Theory and Applications (AITA 2024) held at IBS Bangalore (9th-10th August 2024). (To be published in Springer Series: Lecture Notes in Networks and Systems (Scopus Indexed)).

• Sakeena Shahid, Neeraj Kumar Sharma, Subodh Kumar, Sanjeev Sharma, Rakesh Kumar Gupta and Naveen Kumar, “Exploring EEG Feature Extraction and Explainable AI for Accurate Depth of Anesthesia Prediction”, 2nd International Conference on Artificial Intelligence: Theory and Applications (AITA 2024) held at IBS Bangalore (9th-10th August 2024). (To be published in Springer Series: Lecture Notes in Networks and Systems (Scopus Indexed)).

• Sakshi Taaresh Khanna, Sunil Kumar Khatri and Neeraj Kumar Sharma, “Machine Learning Strategies for Enhanced Disease Prediction and Management“, 2nd International Conference on Artificial Intelligence: Theory and Applications (AITA 2024) held at IBS Bangalore (9th-10th August 2024). (To be published in Springer Series: Lecture Notes in Networks and Systems (Scopus Indexed)).

• Sakshi Taaresh Khanna, Sunil Kumar Khatri and Neeraj Kumar Sharma, “EXAIOC: Explainable AI for Oral Cancer Diagnosis and Prognosis-An Application-Centric Approach for Early Detection and Treatment Planning Published in Lecture notes in Networks and systems (Springer), Intelligent and Fuzzy Systems, ISBN: 978-3-031-70018-7, 2024. DOI: https://doi.org/10.1007/978-3-031-70018-7

• Sakshi Taaresh Khanna, Sunil Kumar Khatri and Neeraj Kumar Sharma, “GACNNXAI: Employing Genetic Algorithm-Enhanced Convolutional Neural Networks and Explainable Artificial Intelligence and its Applications”, IEEE Third International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 353-358, 2024. DOI: 10.1109/ICPEICES62430.2024.10719032

• Neeraj Kumar Sharma, Sakeena Shahid, Subodh Kumar, Sanjeev Sharma, Rakesh Kumar Gupta, Naveen Kumar, Predicting Depth of Anesthesia using EEG Signals and Deep Convolution Network, 3rd International Conference on AI-ML Systems, ACM conference (25-27 Oct. 2023 Bengaluru, India). ACM Digital Library.

• Neeraj Kumar Sharma, Subodh Kumar*, Ankit Rajpal, and Naveen Kumar. "DWT and Quantization Based Digital Watermarking Scheme Using Kernel OS-ELM." In Soft Computing and Optimization: SCOTA 2021, Ranchi, India, March 26–27, pp. 313-328, Proceedings in Mathematics & Statistics. Singapore: Springer Nature Singapore, 2023. (Scopus Indexed)

• Neeraj Kumar Sharma, Vibha Gaur and Punam Bedi (2013). “Distributed Multi-agent Reputation Framework for Interactions in e-market”. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE, 2013). Hyderabad (Scopus Indexed)

• Vibha Gaur, & Neeraj Kumar Sharma. (2011a). “A Dynamic Seller Selection Model for Agent Mediated e-market”. In International Conference on Advances in Computing and Communication, Part II, CCIS 191 (pp. 284-295). Kochi, India: Springer Berlin Heidelberg. (Scopus Indexed)

• Vibha Gaur, Neeraj Kumar Sharma, & Punam Bedi. (2010). “Evaluating Reputation Systems for Agent Mediated e-Commerce”. International Conference on Advances in Computer Science (ACS 2010) (pp. 220-224). Kerala, India: Engineers Network, Conference Publishing System (CPS) ACEEE.

•  "MCS-031: Design and Analysis of Algorithms (Design Techniques - 1)", ISBN: 81-266-2081-1, 2005.

•  "MCS-003: Artificial Intelligence and Knowledge Management (Applications of Artificial Intelligence)", ISBN: 978-81-266-2866-7, 2006.

• Neeraj Kumar Sharma, Sakeena Shahid, Subodh Kumar, Sanjeev Sharma, Rakesh Kumar Gupta, Naveen Kumar, Predicting Depth of Anesthesia using EEG Signals and Deep Convolution Network, 3rdInternational Conference on AI-ML Systems, ACM conference (25-27 Oct. 2023 Bengaluru, India).ACM Digital Library.

• Neeraj Kumar Sharma, Subodh Kumar*, Ankit Rajpal, and Naveen Kumar. "DWT and Quantization Based Digital Watermarking Scheme Using Kernel OS-ELM." In Soft Computing and Optimization: SCOTA 2021, Ranchi, India, March 26–27, pp. 313-328, Proceedings in Mathematics & Statistics. Singapore: Springer Nature Singapore, 2023. (ScopusIndexed)

• Neeraj Kumar Sharma, Vibha Gaur and Punam Bedi (2013). “Distributed Multi-agent Reputation Framework for Interactions in e-market”. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE, 2013). Hyderabad (ScopusIndexed)

• Vibha Gaur, & Neeraj Kumar Sharma. (2011a). “A Dynamic Seller Selection Model for Agent Mediated e-market”. In International Conference on Advances in Computing and Communication, Part II, CCIS 191(pp. 284-295). Kochi, India: Springer Berlin Heidelberg.(ScopusIndexed)

• Vibha Gaur, Neeraj Kumar Sharma, & Punam Bedi. (2010). “Evaluating Reputation Systems for Agent Mediated e-Commerce”. International Conference on Advances in Computer Science (ACS 2010)(pp. 220-224). Kerala, India: Engineers Network, Conference Publishing System (CPS) ACEEE.

• Research supervisor in the Department of Computer Science, University of Delhi since 2019, currently supervising two research scholars. One of the Ph.D. student has just submitted thesis and the other has completed coursework and is in the process of writing an article.•Member, selection committee for appointment of Assistant Professors (Permanent) in the Department of Computer Science, Ram Lal Anand College in January 2023.

• Nodal Officer, Skill Development Centre (Under NEP, UGCF 2022)for Ram Lal Anand College (Prepared the SDC proposal and defended it in the University for its allocation)

• Convener, Laptop Distribution Committee of the college since July 2021 –till now•Convener, E-waste management committee of the college in 2022-23•Convener, Admission Committee of the Computer Sc. Department in 2022-23 and 2020-21

• Co-convener, Student Union Advisory Committee in 2022-23•Member, Department Research Committee (DRC) in the Department of Computer Science from Oct 2020 to Oct 2022.

• Presented a paper “NEP: A realizable approach to higher education” during National Conference on National Education at Deshbandhu College University of Delhi•Keynote Speaker for a talk on Machine Learning at a Workshop/Seminar conducted at Ideal Institute of Management & Tech. of GGSIP University 2020

• Resource Person (five lectures) and Coordinator of 1 week FDP on “Introduction to Machine Learning in Research” under Pandit Madan Mohan Malviya National Mission on Teachers and Teaching (PMMMNMTT) from 10thOct. 2020 to 18thOct. 2020.

• Invited lecture in the HRDC, JNU in the 2ndRefresher Course in E-Learning & E-Governance on 27thAugust 2019.

• Taught during Ph.D. coursework in the Department of Computer Science in 2020 and 2021

• Certified by the Department of Computer Science, University of Delhi for my major contribution to the curriculum/syllabus design under UGCF-NEP, LOCF, and CBCS:•Dec 2022 –Mar 2023: UGCF-2022 curriculum Design of NEP (designed 10 courses): Contributed in designing the structure and syllabus of 1 core course in B.Sc(H) Comp. Sc., 3 GE courses, and 6 DSE courses

• Oct 2021 -May 22UGCF-2022 curriculum Design of NEP (11 courses): Designing the structure/syllabus of 3 core and 2 DSEs in B.Sc(H) CS, 1 core and 2 GE in Multidisciplinary Courses (3 Cores), 2 GE for Non-CS Hons, 1 core for Multidisciplinary (2 Core Disciplines)

• Nov. 2018 –July 2019:LOCF-2019 curriculum Design (20 courses): Contributed to designing the structure and syllabus of 20 courses for B.Sc(H) Comp. Sc., B.Sc. Program, B.A. Program, SECs and Generic Electives•Oct. 2017 –June 2018: CBCS curriculum Design (10 courses): Contributed to designing the structure and syllabus of 10 courses/subjects for B.Sc(H) Comp. Sc., B.Sc. Program, B.A. Program with Computer Applications, SECs and GEs

• Sept. 2015 –July 2016: CBCS curriculum Design (22 courses): Contributed to designing the structure and syllabus of 11 SEC and GE courses of B.Sc.(H) Comp. Sc. (CBCS), 6 SEC and GE courses of B.Sc. Program, 5 SEC and G.E. courses of B.A. Program

• April 2015 –July 2015: CBCS curriculum Design (27 courses): Contributed in designing the Overall Structure and Syllabus of 10 subjects/courses of B.Sc.(H) Comp. Sc., 13 courses of B.Sc. Program and 4 courses of B.A Program•Designed the syllabus of 2 M.C.A. papers(Algorithms and Artificial Intelligence) of I.G.N.O.U.between 2004 to 2006.

• Selection committee member for admission of Ph.D. students in the Department of Computer Science, University of Delhi in September 2019 and January 2021.

• Selection committee member for admission of M.Sc. students in the Department of Computer Science, University of Delhi in August 2019.•Selection committee member for promotion of Scientist Grade B to Grade C in National Informatics Centre (NIC), Delhi in December 2018.

• Conducted a skill test for selection of Sr. Technical Assistant (computer) on permanent basis in Shaheed Bhagat Singh College.

• Member of "Committee of Post-Graduate and Honours Courses" in the Department of Computer Science, University of Delhi, Delhi from January 2014to September 2016.

• Special invitee to "Committee of Courses & Studies for Under-Graduate Courses" on a number of occasions in the Department of Computer Science, University of Delhi, from 2014 to 2016.

• Member of the Governing Body of Ram Lal Anand College from April 2014 to April 2015 as teacher representative•Convener/coordinator in a number of FDPs/workshopsand seminarsconducted by the Department of Computer Science in Ram Lal Anand College from2016to 2019.

• Member of the MCA course design committee of IGNOU, constituted in 2005 for the subject MCS-031: Design and Analysis of Algorithms.

• Member of the MCA course design committee of IGNOU, constituted in January 2006 for the subject MCS-003: Artificial Intelligence.