Shri Mata Vaishno Devi University
- Home
- About Us
- Academics
- Research
- Placements
- Campus Life
- Notifications
- Results
- Downloads
- Jobs
- Contact
- NIRF-2025
Associate Professor, School of Computer Science and Engineering
Shri Mata Vaishno Devi University (SMVDU) (24 April 2017 – Present, 7.8 Years)
High-End Computing AI and Deep Learning Lab – Higher Education Department, JK Govt. (2021–2025)
Trans-disciplinary Research and Innovation Hub – Higher Education Department, JK Govt. (2021–2025)
“A Hybrid Feature Selection and Ensemble Stacked Learning Models on Multi-Variant CVD Datasets for Effective Classification”
IEEE ACCESS, 2024. DOI: 10.1109/ACCESS.2024.3412077
“Lightweight Group Authentication Protocol for Secure RFID System”
Multimedia Tools & Applications, 2024. DOI: https://doi.org/10.1007/s11042-024-19013-1
“Machine Learning Techniques Using Deep Instinctive Encoder-Based Feature Extraction for Optimized Breast Cancer Detection”
Computers, Materials & Continua, 2024.
“Performance Evaluation of Learning Models for Intrusion Detection System Using Feature Selection”
Journal of Computer Virology & Hacking Techniques, 2023.
“Performance Evaluation of Learning Models for the Prognosis of COVID-19”
New Generation Computing, 2023.
“CTDN (Convolutional Temporal Based Deep-Neural Network): An Improvised Stacked Hybrid Computational Approach for Anticancer Drug Response Prediction”
Computational Biology and Chemistry, 2023.
“Ultra-Lightweight Blockchain-Enabled RFID Authentication Protocol for Supply Chain in the Domain of 5G Mobile Edge Computing”
Wireless Networks, 2023.
“Takri Touching Text Segmentation Using Statistical Approach”
Sādhanā, Springer Journal, 2023.
“Performance Evaluation of Deep Dense Layer Neural Network for Diabetes Prediction”
Computers, Materials & Continua, 2023.
“Comparative Evaluation of Deep Dense Sequential and Deep Dense Transfer Learning Models for Suicidal Emotion Prediction”
Concurrency and Computation Practice & Experience, 2023.
“A Systematic Literature Review for the Prediction of Anticancer Drug Response Using Various Machine-Learning and Deep-Learning Techniques”
Chemical Biology & Drug Design, 2023.
“Prognosis and Prediction of Breast Cancer Using Machine Learning and Ensemble-Based Training Model”
The Computer Journal, 2023.
“Ensemble Model for Diagnostic Classification of Alzheimer’s Disease Based on Brain Anatomical Magnetic Resonance Imaging”
Diagnostics, 2022.
“A Hybrid Deep Learning Model Using Grid Search and Cross-Validation for Effective Classification and Prediction of Suicidal Ideation from Social Network Data”
New Generation Computing, 2022.
“HSI-LFS-BERT: Novel Hybrid Swarm Intelligence-Based Linguistics Feature Selection and Computational Intelligent Model for Alzheimer’s Prediction Using Audio Transcript”
IEEE Access, 2022.
“Machine Learning Concepts and Its Applications for Prediction of Diseases Based on Drug Behaviour: An Extensive Review”
Chemometrics and Intelligent Laboratory Systems, 2022.
“Stacked Deep Dense Neural Network Model to Predict Alzheimer’s Dementia Using Audio Transcript Data”
IEEE Access, 2022.
“Handwritten Indic Scripts Recognition Using Neuro-Evolutionary Adaptive PSO Based Convolutional Neural Networks”
Sādhanā, Springer Journal, 2022.
“Quantum Particle Swarm Optimization Based Convolutional Neural Network for Handwritten Script Recognition”
Computers, Materials & Continua, 2022.
“Computational Intelligent Models for Alzheimer’s Prediction Using Audio Transcript Data”
Computing & Informatics, 2022.
“Implementation of Neuro-Fuzzy Decision Tree Based Malignant Tumor Detection System”
Journal of Advanced Intelligence Paradigm, Inderscience, 2018.
“DWUT-MLP: Classification of Anticancer Drug Response Using Various Feature Selection and Classification Techniques”
Chemometrics and Intelligent Laboratory Systems, 2022.
“A Review and Analysis of Secure and Lightweight ECC-Based RFID Authentication Protocol for Internet of Vehicles”
Transactions on Emerging Telecommunications Technologies, 2021.
“Cryptographic Solution Based Secure Elliptic Curve Cryptography Enabled Radio Frequency Identification Mutual Authentication Protocol for Internet of Vehicles”
IEEE Access, 2021.
“A Survey on Nature Inspired Algorithms and Its Applications in the Internet of Vehicles”
International Journal of Communication Systems, 2021.
“Performance Evaluation of Learning Models for Identification of Suicidal Thoughts”
The Computer Journal, 2021.
“Offline Recognition of Handwritten Indic Scripts: A State-of-the-Art Survey and Future Perspectives”
Computer Science Review, 2020.
“A Comparative Analysis for Identification and Classification of Text Segmentation Challenges in Takri Script”
Sādhanā, Springer Journal, 2020.
“FeaTrim-ViT: Vision Transformer Trimming with One Shot Neural Architecture Search in Continuous Optimisation Space and Efficient Feature Selection”
Proceedings of the Fifth International Conference on Computing, Communications, and Cyber, SMVDU, 2024.
“Emerging Trends of Artificial Intelligence in Detecting Neurodegeneration”
Proceedings of the Fifth International Conference on Computing, Communications, and Cyber, SMVDU, 2024.
“An Ensemble Approach for Multiclass Skin Lesion Classification from Dermoscopic Images”
Proceedings of the Second International Conference on Computing, Communication, Security, and Intelligent Systems, SMVDU, 2024.
“Machine Learning Models for Alzheimer’s Disease Detection Using Medical Images”
Proceedings of the Data Analysis for Neurodegenerative Disorders Conference, UPES Dehradun, 2023.
“Systematic Review of Learning Models for Suicidal Ideation on Social Media”
Proceedings of the International Conference on Recent Innovations in Computing, Central University, Jammu, 2023.
“Machine Learning Model for Sentiment Analysis on Mental Health Issues”
Proceedings of the 15th International Conference on Computer and Automation Engineering (ICCAE), Sydney, Australia, 2023.
“Anti-Drug Response and Drug Side Effect Prediction Methods: A Review”
Proceedings of the Computational Intelligence and Data Analytics Conference, Vasavi Engineering College, Hyderabad, 2022.
“Anti-drug Response Prediction: A Review of the Different Supervised and Unsupervised Learning Approaches”
Proceedings of the Machine Intelligence & Smart Systems Conference, Bhopal, 2022.
“Transfer Learning-Assisted Prognosis of Alzheimer’s Disease and Mild Cognitive Impairment Using Structural-MRI”
Proceedings of the 10th International Conference on Emerging Trends in Engineering and Technology – Signal and Information Processing (ICETET-SIP-22), Nagpur, India, 2022.
“Neuroimaging (Anatomical MRI)-Based Classification of Alzheimer’s Diseases and Mild Cognitive Impairment Using Convolution Neural Network”
Proceedings of Advances in Data Computing, Communication, and Security, 2022.
“Applications and Challenges in Internet of Vehicles: A Survey”
Proceedings of the Internet of Things and Its Applications Conference, 2022.
“Use of Classification Approaches for Takri Text Challenges”
Proceedings of Information and Communication Technology for Competitive Strategies (ICTCS 2020), Jaipur, 2021.
“Machine Learning-Based Dataset for Finding Suicidal Ideation on Twitter”
Proceedings of the Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, Tirunelveli, India, 2021.
“Offline Handwritten Dogra Script Recognition Using Convolutional Neural Network”
Proceedings of the 4th International Conference on Smart Computing and Informatics (SCI 2020), Vasavi College of Engineering (Autonomous), Hyderabad, 2021.
“Neuro-image Classification for the Prediction of Alzheimer’s Disease Using Machine Learning Techniques”
Proceedings of MIDAS 2020, UPES, Dehradun, 2021.
“Security Solutions for Threats in IoT-Based Smart Vehicles”
Proceedings of Security and Privacy in the Internet of Things, CRC Press, 2020.
“Review of Deep Learning Techniques for Improving the Performance of Machine Reading Comprehension Problem”
Proceedings of the International Conference on Intelligent Computing and Control Systems (ICICCS 2020), 2020.
“Suicidal Tendency on Social Media by Using Text Mining”
Proceedings of FTNCT 2019, Chandigarh, India, 2019.
“A Database for Printed Takri Class of North-West Indian Regional Scripts”
Proceedings of FTNCT 2019, Chandigarh, India, 2019.
“A Comprehensive Review of Nature-Inspired Algorithms for Internet of Vehicles”
Proceedings of the International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, India, 2020.
“Character Recognition Using Machine Learning and Deep Learning – A Survey”
Proceedings of the International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, India, 2020.
“Suicidal Ideation from the Perspective of Social and Opinion Mining”
Proceedings of ICRIC-2019, Central University, Jammu, India, 2020.
“A Survey on Various Face Detecting and Tracking Techniques in Video Sequences”
Proceedings of the 2019 International Conference on Intelligent Computing and Control Systems (ICCS), Madurai, India, 2019.
“Suicidal Tendency on Social Media: A Case Study”
Proceedings of the 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), Faridabad, India, 2019.
“Recent Trends of Workflow Scheduling Algorithms in Cloud Computing under QoS Constraints”
Proceedings of the 4th International Conference on Signal Processing, Computing and Control (ISPCC), Jaypee University, HP, 2019.
FeaTrim-ViT: Vision Transformer Trimming with One Shot Neural Architecture Search in Continuous Optimisation Space and Efficient Feature Selection
Chapter in Lecture Notes in Networks and Systems, Springer, 2024.
Authors: Shaswat Sharma, Baijnath Kaushik.
ISBN: 978-981-97-2550-2
Emerging Trends of Artificial Intelligence in Detecting Neurodegeneration
Chapter in Lecture Notes in Networks and Systems, Springer, 2024.
Authors: D. P. Singh, Baijnath Kaushik, Y.F. Khan, A. Chadha, A. Mahajan.
ISBN: 978-981-97-2550-2
An Ensemble Approach for Multiclass Skin Lesion Classification from Dermoscopic Images
Chapter in Algorithms for Intelligent Systems, Springer, 2024.
Authors: N. Gupta, Baijnath Kaushik, A. Chadha, Y.F. Khan, Shaswat Sharma.
ISBN: 978-981-99-8398-8
Machine Learning Models for Alzheimer’s Disease Detection Using Medical Images
Chapter in Cognitive Technologies, Springer, 2023.
Authors: Y.F. Khan, Baijnath Kaushik, D. Koundal.
ISBN: 978-981-99-2154-6
Systematic Review of Learning Models for Suicidal Ideation on Social Media
Chapter in Lecture Notes in Electrical Engineering, Springer, 2023.
Authors: Akshita Sharma, Baijnath Kaushik.
ISBN: 978-981-19-9876-8
Anti-Drug Response and Drug Side Effect Prediction Methods: A Review
Chapter in Lecture Notes on Data Engineering and Communications Technologies, Springer, 2023.
Authors: D. P. Singh, A. Gupta, Baijnath Kaushik.
ISBN: 978-981-19-3391-2
Anti-drug Response Prediction: A Review of the Different Supervised and Unsupervised Learning Approaches
Chapter in Algorithms for Intelligent Systems, Springer, 2022.
Authors: D. P. Singh, A. Gupta, Baijnath Kaushik.
ISBN: 978-981-16-9650-3
Neuroimaging (Anatomical MRI)-Based Classification of Alzheimer’s Diseases and Mild Cognitive Impairment Using Convolution Neural Network
Chapter in Lecture Notes on Data Engineering and Communications Technologies, Springer, 2022.
Authors: Y.F. Khan, Baijnath Kaushik.
ISBN: 978-981-16-8403-6
Applications and Challenges in Internet of Vehicles: A Survey
Chapter in Lecture Notes in Electrical Engineering, Springer, 2022.
Authors: S. Sharma, Baijnath Kaushik.
ISBN: 978-981-16-7637-6
Use of Classification Approaches for Takri Text Challenges
Chapter in Lecture Notes in Networks and Systems, Springer, 2021.
Authors: S. Magotra, Baijnath Kaushik, A. Kaul.
ISBN: 978-981-16-0882-7
Offline Handwritten Dogra Script Recognition Using Convolutional Neural Network
Chapter in Smart Innovation, Systems, and Technologies, Springer, 2021.
Authors: Reya Sharma, Baijnath Kaushik, N. Gondhi.
ISBN: 978-981-16-1502-3
Neuro-image Classification for the Prediction of Alzheimer’s Disease Using Machine Learning Techniques
Chapter in Algorithms for Intelligent Systems, Springer, 2021.
Authors: Y.F. Khan, Baijnath Kaushik.
ISBN: 978-981-33-4087-9
Security Solutions for Threats in IoT-Based Smart Vehicles
Chapter in Security and Privacy in the Internet of Things, Taylor & Francis, 2020.
Authors: S. Sharma, Baijnath Kaushik.
ISBN: 9781003016304
Suicidal Tendency on Social Media by Using Text Mining
Chapter in Communications in Computer and Information Science, Springer, 2020.
Authors: P. Gupta, Baijnath Kaushik, Sunanda.
ISBN: 978-981-15-4451-4
A Database for Printed Takri Class of North-West Indian Regional Scripts
Chapter in Communications in Computer and Information Science, Springer, 2020.
Authors: S. Magotra, Baijnath Kaushik, A. Kaul.
ISBN: 978-981-15-4451-4
Suicidal Ideation from the Perspective of Social and Opinion Mining
Chapter in Lecture Notes in Electrical Engineering, Springer, 2019.
Authors: A. Chadha, Baijnath Kaushik.
ISBN: 978-3-030-29407-6
Ph.D. in CSE – Dr. Surbhi Sharma (17DCS006)
Research Topic: Enhancing Security of Internet of Vehicles (IoV) using Lightweight Cryptographic Solutions
Status: Ph.D. Awarded on 22nd August, 2022
Ph.D. in CSE – Dr. Reya Sharma (17DCS002)
Research Topic: Enhanced Neuro-evolutionary Techniques for Handwritten Dogra Script Recognition
Status: Ph.D. Awarded on 23rd August, 2022
Ph.D. in CSE – Dr. Akshma Chadha (17DCS013)
Research Topic: Effective Learning Models for Identifying Suicidal Ideation in Individuals on Social Media
Status: Ph.D. Awarded on 1st October, 2022
Ph.D. in CSE – Dr. Yusera Farooq Khan (18DCS006)
Research Topic: Intelligent Computational Framework using Feature Optimization for Prognosis and Detection of Alzheimer’s Dementia
Status: Ph.D. Awarded on 5th May, 2023
Ph.D. in CSE – Dr. Davinder Paul Singh (18DCS004)
Research Topic: Prediction of Anti-Cancer Drug Response using Intelligent Computational Approaches
Status: Ph.D. Awarded on 12th September, 2023
Co-Supervisor: Dr. Baijnath Kaushik
Ph.D. in CSE – Dr. Sanjeev Kumar (18DP000424)
Research Topic: Low-Cost Effective and Intelligent Authentication Protocol for RFID
Status: Ph.D. Awarded on 2nd February, 2024
Co-Supervisor: Dr. Baijnath Kaushik
Ph.D. in CSE – Shikha Magotra (17DCS012)
Research Topic: Development of Computational Model for Text Segmentation in Takri Script OCR
Status: Ph.D. Awarded on 18th March, 2024
Co-Supervisor: Dr. Ajay Koul
Ph.D. in CSE – Niharika (16DCS004)
Research Topic: Effective Use of Feature Extraction Techniques and Learning Paradigms on Bio-Medical Datasets for Disease Prediction
Status: Ph.D. Awarded on 21st September, 2024
Ph.D. in CSE – Abhigya Mahajan (21DCS003)
Research Topic: Title Yet to be Finalized
Status: Work in Progress
Ph.D. in CSE – Tavneet Singh (23DCS002)
Research Topic: Title Yet to be Finalized
Status: Work in Progress
Ph.D. in CSE – Subha Mahajan (23DCS001)
Research Topic: Title Yet to be Finalized
Status: Work in Progress
Co-Supervisor: Dr. Pooja Sharma
Ph.D. in CSE – Sanjay Sharma (24DCS003)
Research Topic: Title Yet to be Finalized
Status: Work in Progress
Digital Antibiotic Vials Auger Filling Machine
Patent No.: Design number: 6319100
Date of Award: 20/10/2023
Date of Filing: 13/10/2023
Awarding Agency: UK Government
Status: Granted
A Novel Machine Learning Based Data-driven Device for Precision Agriculture
Patent Registration No.: 6323441
Date of Award: 23/11/2023
Date of Filing: 03/11/2023
Awarding Agency: UK Government
Status: Granted
Implementation of Artificial Intelligence and Blockchain Integrated Billing Architecture for Charging Electrical Vehicles
Status: Published
A Method for Live Transcription and Summarization using Natural Language Processing and Deep Learning
Application Number: 202311038026
Date of Published: 06/12/2024
Date of Filing: 02/06/2023
Awarding Agency: Intellectual Property of India, Government of India
Status: Published
System and Method for Efficient Prediction of Evaporation using Ensemble Feature Selection Techniques
Patent Number: 202411001593
Date of Published: 02/02/2024
Date of Filing: 09/01/2024
Awarding Agency: Intellectual Property of India, Government of India
Status: Published
“International Conference on Machine Learning & Computational Intelligence (ICMLCI-2017)”
Venue: SMVDU, Katra
From: 27th September 2017
To: 28th September 2017
Designation: Convenor
“5th International Springer Conference on Computing, Communication and Cyber Security (IC4S’05 Volume 1)”
Venue: SMVDU, Katra
From: 27th September 2017
To: 28th September 2017
Designation: Convenor, General Chair
“Applications of Soft Computing and Machine Learning”
Category: Faculty Development Program (FDP)
Venue: SMVDU, Katra
From: 3rd April 2018
To: 7th April 2018
Designation: Coordinator
“Applications of Data Science & Machine Learning”
Category: Faculty Development Program (FDP)
Venue: SMVDU, Katra
From: 6th August 2018
To: 10th August 2018
Designation: Coordinator
“Applications of Data Analytics using Python”
Category: Faculty Development Program (FDP)
Venue: SMVDU, Katra
From: 4th September 2018
To: 8th September 2018
Designation: Coordinator
“Internet of Things (IoT) with Cloud Applications”
Category: Faculty Development Program (FDP)
Venue: SMVDU, Katra
From: 20th November 2018
To: 24th November 2018
Designation: Coordinator
“AI, Machine Learning and Data Science”
Category: Faculty Development Program (FDP)
Venue: SMVDU, Katra
From: 15th January 2024
To: 19th January 2024
Designation: Coordinator
“Introduction to Cryptology”
Category: One Week Short Term Course, Quality Improvement Program (QIP)
Venue: IIT Roorkee
From: 4th December 2017
To: 8th December 2017
Designation: Participant
“Professional Development Training Program”
Category: One Week Professional Development Training Program (FDP)
Venue: IIM Raipur
From: 14th December 2017
To: 18th December 2017
Designation: Participant
“Short Term Course on NS 2/3 Simulator”
Category: Short Term Course (STC)
Venue: NIITR, Chandigarh
From: 12th March 2018
To: 16th March 2018
Designation: Participant
“Applications of Soft Computing and Machine Learning”
Category: Faculty Development Program (FDP)
Venue: SMVDU
From: 3rd April 2018
To: 7th April 2018
Designation: Participant
“Professional Development Training Program”
Category: One Week Professional Development Training Program (FDP)
Venue: IIT Mumbai
From: 11th June 2018
To: 16th June 2018
Designation: Participant
“Applications of Data Science & Machine Learning”
Category: Faculty Development Program (FDP)
Venue: SMVDU
From: 6th August 2018
To: 10th August 2018
Designation: Participant
“Data Analytics using Python”
Category: Faculty Development Program (FDP)
Venue: EICT, IIT Roorkee and SMVDU
From: 4th September 2018
To: 8th September 2018
Designation: Participant
“Internet of Things: Theory & Applications”
Category: Faculty Development Program (FDP)
Venue: IIT Kharagpur
From: 24th October 2018
To: 28th October 2018
Designation: Participant
“Wireless & Mobile Applications”
Category: Faculty Development Program (FDP)
Venue: EICT, IIT Roorkee and SMVDU
From: 4th December 2018
To: 8th December 2018
Designation: Participant
“AI and Machine Learning”
Category: Faculty Development Program (FDP)
Venue: EICT, IIT Roorkee and SMVDU
From: 17th December 2018
To: 21st December 2018
Designation: Participant
“Applications of Machine Learning in System Adaptation”
Place: Jammu University
Year: 14th November 2017
Description of Event: IETE Foundation Day
“Applications of AI & Machine Learning in Mathematical Science”
Place: GGM Science College, Jammu
Year: 19th January 2018
Description of Event: National Conference on Mathematical Science
“Applications of AI & Machine Learning”
Place: Yogananda College of Engineering, Jammu
Year: 12th February 2018
Description of Event: Expert Lecture
“Recent Trends in Machine Learning & Data Science”
Place: MIET Jammu
Year: 19th April 2018
Description of Event: Expert Lecture
“Recent Trends in Machine Learning & Data Science”
Place: Baba Gulam Badshah University, Rajouri
Year: 24th April 2018
Description of Event: Expert Lecture
“Recent Trends in Machine Learning & Data Science”
Place: SMVDU
Year: 08–12 October 2018
Description of Event: Human Resource Development Cell (HRDC), SMVDU
“Recent Trends in Machine Learning & Data Science”
Place: JNTU Hyderabad
Year: 28th January – 01st February 2019
Description of Event: Contemporary Research & IPR, JNTU Hyderabad
“FDP on Machine Learning”
Place: Baba Gulam Badshah University, Rajouri
Year: 29th April – 01st May 2019
Description of Event: Resource Person in FDP organized by Baba Gulam Badshah University Rajouri
“Recent Trends in Machine Learning, Data Science & Deep Learning”
Place: SMVDU
Year: 16th February – 01st March 2019
Description of Event: Faculty Development Cell, SMVDU
“Applications of Deep Learning & Machine Learning”
Place: Baba Gulam Badshah University, Rajouri
Year: 28th May 2020
Description of Event: Expert Talks
“Deep Learning & Machine Learning Applications using Python”
Place: EICT, IIT Roorkee and SMVDU
Year: 6th January – 10th January 2020
Description of Event: FDP
“Use of IoT in Internet of Vehicles”
Place: Central University Jammu
Year: 17th October 2019
Description of Event: AICTE ATAL FDP
“Bias, Variance & Cross-Validation”
Place: MIET Jammu
Year: 13th July 2021
Description of Event: AICTE ATAL STTP
“AUC, ROC & Regularization Techniques”
Place: MIET Jammu
Year: 13th July 2021
Description of Event: AICTE ATAL STTP
“Ensemble Learning Techniques”
Place: MIET Jammu
Year: 27th July 2021
Description of Event: AICTE ATAL STTP
“Gradient Boost & Extreme Gradient Boost Techniques”
Place: MIET Jammu
Year: 27th July 2021
Description of Event: AICTE ATAL STTP
“Ensemble Learning Techniques: Random Forest”
Place: PPG College of Arts & Science, Coimbatore, TN
Year: 30th August 2021
Description of Event: AICTE ATAL STTP
“Artificial Intelligence, Big Data & Business Opportunities”
Place: SMVDU, Katra
Year: 9th March 2022
Description of Event: EDC Cell & JK Higher Education Department
“IEEE Conference”
Description: Invited as a Session Chair in System Modelling and Advancement in Research
Date: 29th – 30th December 2017
Venue: TMU Moradabad
“National Conference”
Description: Invited as a Session Chair in Recent Innovation in Computing (ICRIC 2018) Mathematical Sciences & Its Applications
Date: 19th – 20th January 2018
Venue: GGM Science College Jammu
“Springer Conference”
Description: Invited as a Session Chair in System Modelling and Advancement in Research
Date: 5th – 6th March 2018
Venue: Central University Jammu
“National Conference”
Description: Invited as a Session Chair in Recent Advances in Computer Science & IT
Date: 24th April 2018
Venue: Baba Gulam Badshah University Rajouri, J&K
“IEEE Conference”
Description: Invited as a Session Chair in IEEE 3rd Int. Conf. on Computational Intelligence & Informatics
Date: 28th – 29th December 2018
Venue: JNTU Hyderabad
“International Conference”
Description: Invited as a Session Chair in Recent Trends & Advancements in Engg. & Tech. (ICRETAET)
Date: 25th – 26th October 2019
Venue: SMVDU Katra
“IEEE Conference”
Description: Invited as a Session Chair in IEEE 15th Int. Conf. on Computational Intelligence & Informatics
Date: 3rd – 5th March
Venue: Sydney, Australia
“Performance Appraisal 2017-2018: Good”
Activity: Yearly Performance Appraisal
Given By: SMVDU, Katra
Year: 2017 – 2018
“Performance Appraisal 2018-2019: Very Good”
Activity: Yearly Performance Appraisal
Given By: SMVDU
Year: 2018 – 2019
“Performance Appraisal 2019-2020: Very Good”
Activity: Yearly Performance Appraisal
Given By: SMVDU
Year: 2019 – 2020
“Performance Appraisal 2020-2021: Very Good”
Activity: Yearly Performance Appraisal
Given By: SMVDU
Year: 2020 – 2021
“Performance Appraisal 2021-2022: Very Good”
Activity: Yearly Performance Appraisal
Given By: SMVDU
Year: 2021 – 2022
“Performance Appraisal 2022-2023: Outstanding”
Activity: Yearly Performance Appraisal
Given By: SMVDU
Year: 2022 – 2023
“Performance Appraisal 2023-2024: Excellent (Expected)”
Activity: Yearly Performance Appraisal
Given By: SMVDU
Year: 2023 – 2024
“Research Excellence Award at Vishwa Intellectual Property Conclave 2023”
Activity: Vishwa Intellectual Property Conclave
Given By: Vishwa Intellectual Property Conclave, Pune
Year: 2023