Studying Workforce Diversity, Inclusion and Engagement Under Universal Reporting for India’s IT Sector Amit Nagpal, Sapna Rana, Bhavesh Vyas International Research Journal of Multidisciplinary Scope, 2026 The proposed study contributes work on creation of model consisting of clauses from global reporting standard and Indian sustainability standard, that identi<ies the interrelationship of workforce diversity, inclusion and engagement with employee attrition risk in India's Information Technology (IT) and IT-Enabled Services Sector.Real time data collection from mandated Securities and Exchange Board of India (SEBI) and Business Responsibility and Sustainability Reports (BRSR) of 61 publicly listed <irms covering more than 1.29 million employees, composite indices based on Global Reporting Initiative (GRI) standards such as 401, 405 and 406 are built from disclosures and normalised via min-max scaling.Utilizing the regression analyses along with Partial Least Squares Structural Equation Modelling (PLS-SEM), a universal equation is created to hold diagnostic metrics with cross-validated value R=0.94 and Standard Root Mean Square Residual (SRMR) to be 0.06.Results show workforce diversity is negatively associated with attrition risk, in line with Social Exchange and Organizational Commitment theories, while inclusion disclosures show counterintuitive positive relationship with attrition and a reveal a legitimacy-driven inclusion paradox.Engagement works to be a potent mediator in transforming symbolic practices to genuine workforce stabilisation.Driven by legitimacy and stakeholder frameworks, the model portrays Environmental Social and Governance (ESG) disclosures as social reciprocity and institutional signalling.This work uses a compliance-driven national dataset, with enhanced transparency and replicability, through index formulation and data schematics.All aligning with Sustainable Development Goals (SDG) 5, 8 and 10 under compliance standards, the validated model provides a tool for augmenting disclosure credibility, operationalise decent work principles and impart inclusive Gross Domestic Product (GDP) growth to the policymaker and organisation.
Optimized Electric Vehicle Charging Through AI Enabled Decision Making Considering Real Time City Network Surya Bhushan Dubey, Mon Prakash Upadhyay, Bhavesh Vyas Proceedings of the 4th IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2026, 2026 The present work contributes towards upward rise of EV vehicles and utilizing help of AI in managing the changing needs of cities in managing power needs as per the rising needs of EV infrastructure. The areas have higher concentrations of fast-charging hubs with varying electrical loads. If not managed properly, these installations can make evening peak demand worse, raise operating expenses and emissions and speed up thermal stress on distribution assets. This study presents a framework for coordinating fast-charging hubs that is based on forecasting. This method allows the hubs to act as loads that support the grid instead of ones that disrupt it. The method uses a Long Short-Term Memory (LSTM) model to predict charging demand a day ahead and a Particle Swarm Optimization (PSO) scheduler to divide power between the grid, photovoltaic (PV) generation, and battery storage. Testing of the work is carried out on a real-time city network, i.e., the 712 MW Jaipur distribution network, using a 55-110 MW corridor model that is similar to it. The results indicate that coordinated charging matches demand with midday renewable availability. This lowers peak load by 2.1%, daily charging cost by 2.8%, and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{CO}_{2}$</tex> emissions by 2.3%, all without lowering the amount of energy delivered or making it less convenient for users. The suggested work supports stable grid operation and indirectly speeds up net-zero and sustainability goals by putting renewable energy first and reducing reliance on carbon-intensive power. Thus, decisions are made based on forecasts for the next day instead of reactive control.
Carbon Emission Benchmarking in University Campus: Strategic Development Toward Net Zero Transition Manju Rani, Bhavesh Vyas, Vineet Dahiya Ssrg International Journal of Civil Engineering, 2025 With the increase in population, resource limitation will be the upcoming major challenge. To cope with the same ground-level awareness and sensitization, the utmost need is to fulfil Net Zero’s nationally determined commitment and vision. Universities have a key role in preparing youth with Net Zero-capable competencies in the wake of climate change and the imperative for transition innovation. This paper provides a benchmarking strategy to measure and contextualize academic institutions’ carbon dioxide (CO₂) emissions, providing information from a real-time case study of finding per capita footprint analysis during campus operations. The study combines spatial factors—latitude, longitude, and climatic profiles—to determine regionally relevant standards. It provides institutions with a comparative frame of reference to analyze their emissions against environmental and location variables. Referred from the Intergovernmental Panel on Climate Change (IPCC), the data collection, analytics, methodology framing as well as literature collation, scoping emissions by scope and determining sectoral hotspots in infrastructure, utilities, mobility, and resource consumption, process is illustrated as short Greenhouse gas campus study. The research also examines how strategic policy-making would have a decisive impact on emission patterns. The most important mitigating pathways are advanced, such as using carbon sinks, campus-level auditing systems, and electronic inventory models. By emphasising integrating geospatial intelligence with institutional planning for sustainability, the research suggests a transparent and accurate working guide for universities to benchmark, track, and minimize their carbon footprint. The benchmarking model promotes informed decision-making and facilitates long-term harmonization with national and international Net Zero ambitions.
AI Driven Modeling of Scope 3 Carbon Emissions for Sustainable University Transportation Manju Rani, Bhavesh Vyas, Vineet Dahiya, Puja Acharya Icoicc 2025 3rd International Conference on Intelligent and Cloud Computing, 2025 The rapid urbanization and increasing demand for transportation in academic institutions contribute significantly to carbon emissions, necessitating sustainable mitigation strategies. This study systematically records annual bus-wise fuel consumption and kilometre-wise route mapping for students commuting to K.R. Mangalam University during the 2022–23 academic session. Using real-time data, carbon emissions were calculated, and artificial intelligence (AI) and machine learning (ML) models, including Autoregressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) networks, were employed for predictive analysis. Comparative analysis of carbon emissions from bus vehicle models was performed, leveraging regression-based modeling to assess CO2 levels. The results indicate that deep learning-based LSTM models outperform ARIMA in long-term forecasting, providing more accurate insights into emission trends. The study proposes multiple strategic recommendations to the university management for reducing carbon footprints, including policy reforms, sustainable transportation alternatives, and afforestation initiatives. The work highlights the institution’s role in promoting environmental consciousness, fostering carbon-conscious practices, and achieving net-zero emissions. The study also outcome with student-incubated project on route optimization and real-time student tracking to enhance transportation efficiency. Discussing the technical challenges and shifting towards AI-driven sustainable solutions in academia can work as a scalable model applicable to broader industrial sectors, including logistics, FMCG, and mining, for efficient environmental management.
Comparative thermo-hydraulic analysis of periodic stepped open micro pin-fin heat sink Prabhakar Bhandari, Bhavesh Vyas, Diwakar Padalia, Lalit Ranakoti, Yogesh Kumar Prajapati, Raghubeer Singh Bangari Archives of Thermodynamics, 2024 There is no doubt that the miniaturization of various electronic devices, including processors, servers, micro-electromechan-ical system devices, etc. has resulted in increased overall performance. However, there is a major problem with thermal management in these devices, as well as in many others. One of the most promising solutions is liquid cooled microchannel heat sink. In the current work, different cases of open micro pin-fin configurations of heat sink were considered. The con-figurations considered were a uniform height micro pin-fin heat sink, three-stepped unidirectional micro pin-fin heat sink and three-stepped bi-directional micro pin-fin heat sink. These configurations were also oriented in two dissimilar fashions, i.e. inline and staggered, so the total of six heat sink configurations are compared and analysed. Using single phase water as a coolant and copper as a substrate, these configurations were simulated numerically for different Reynolds numbers (10−160) under heat flux of 500 kW/m2. It can be concluded that at low Reynolds numbers, steepness does not contribute much in both inline and staggered arrangements, while at higher Reynolds numbers, 3 stepped staggered configurations has revealed the best performance due to boosted fluid mixing and more projecting secondary flow. Furthermore, bi-direction-ality in steepness shows augmented performance only in inline arrangement.
Nanomaterials Applicability in Blended Perovskite Solar Cells: To commercialize Lead-free Content, Including Easy End of life Management in Solar Infrastructure Bhavesh Vyas, Jayesh Vyas, Vineet Dahiya, Puja Acharya Nanoelectronics Devices Design Materials and Applications Part I, 2023 This chapter provides insights about the Perovskite type of Solar Cell (PVSC) that can be utilized as a probable substitute for existing solar panels. Pros of reduced lead participation in chemical structure and better end-of-life supports have boosted research explorations. Combinatorial-based explorations in perovskites have created a collection of various chemical designs with unique properties and improved functionalities. Investigations in terms of catalytic nature, environment adaptability, and spintronic properties provide vivid structural arrangements. But still, constraints based on application-specific composition, raw material utilization, problems of stability issues, and the reduction in lead content are the objectives yet to be achieved at the commercial level. Interlinking of chemical structural, the nature of multiple layers created for building the material can be improvised with nanomaterials integration as detailed in the chapter. Comparative lab results analysis and efforts over raised stability and reduced lead content are taken into the study to present PVSC as upcoming commercialized products. Moreover, future scope briefs about existing nanomaterials composites with improvised electron and hole transport layers. Also, findings related to back electrode-based placement to achieve better efficiency and stability are submitted to reveal suitable obtains of the experiments covered in the study.
Improving Smart Grid Cybersecurity by Addressing the Risk of Incorrect Data Injection Muskan Yadav, Bhavesh Vyas, Paresh Pathak, Rahul Bhatt, Vaidehi Pareek, Ritika Dhabliya 2023 International Conference on Data Science and Network Security Icdsns 2023, 2023 Rapid change is being seen in the electrical grid. Microgrids, renewable energy sources, and the increased automation of grid-level decision-making made possible by sensors have all contributed to the grid's growing complexity. Studies in the field of smart grids have shown the grid's susceptibility to hacking. In example, new research shows how the insertion of erroneous data may cause a wide range of issues in the functioning of smart grids. A sophisticated assault might compromise the power grid's functioning and control without being detected by bad data detection equipment performing state estimation. In this study, we expand upon previous works in the field to detail how safeguarding selected vital sensor in the power system from fake data injection attacks might help mitigate the problem. This article discusses the IEEE 14 bus evaluation system and explains how a fake data injection attack may be carried out given just little information about the network. Different case studies are used to verify the assumptions used to determine the attacking zone. In this study, we see why protecting the electric grid from cyberattacks is so crucial.
Under frequency islanding scheme of Atomic Power Plant Sumit Nariyal, M.P. Sharma, R.K. Khanna, Vikash Koundilya, Bhavesh Vyas 1st IEEE International Conference on Power Electronics Intelligent Control and Energy Systems Icpeices 2016, 2017
Précision Healthcare: Advancing Patient Care Through Decision Tools, Wearables, and Ethical Considerations SAM Ali, S Begum, MA Naveed, MN Mujahid Precision Healthcare: Patient Care, Decision Tools, Wearables, Legal and … , 2025 2025
Assessing per capita carbon footprint in university campus: methodology and strategy implications for emissions reduction M Rani, P Acharya, B Vyas Sādhanā 50 (4), 237 , 2025 2025 Citations: 2
AI Driven Modeling of Scope 3 Carbon Emissions for Sustainable University Transportation M Rani, B Vyas, V Dahiya, P Acharya 2025 International Conference on Intelligent and Cloud Computing (ICoICC), 1-7 , 2025 2025 Citations: 2
The Role of Green HRM and Leadership Diversity in ESG Performance: Predictive Insights Using AI-Driven Models A Nagpal, S Rana, B Vyas International Conference on Information and Communication Technology for … , 2025 2025
Comparative thermo-hydraulic analysis of periodic stepped open micro pin-fin heat sink P Bhandari, B Vyas, D Padalia, L Ranakoti, YK Prajapati, RS Bangari Archives of Thermodynamics 45 (3), 99-105 , 2024 2024 Citations: 5
Nanomaterials Applicability in Blended Perovskite Solar Cells: To commercialize Lead-free Content, Including Easy End of life Management in Solar Infrastructure B Vyas, J Vyas, V Dahiya, P Acharya Nanoelectronics Devices: Design, Materials, and Applications (Part I), 315-345 , 2023 2023
Improving Smart Grid Cybersecurity by Addressing the Risk of Incorrect Data Injection M Yadav, B Vyas, P Pathak, R Bhatt, V Pareek, R Dhabliya 2023 International Conference on Data Science and Network Security (ICDSNS), 1-7 , 2023 2023
Carbon Emission Reduction by Solving Real-Time Grid Issues B Vyas, V Dahiya, M Katoch, MP Sharma Renewable Resources and Energy Management, 46-55 , 2023 2023
A Review Study on Advancement and Development of First Generation to Next Generation Optical Fibers P Acharya, VS Tanwar, B Vyas Advances in Functional and Smart Materials: Select Proceedings of ICFMMP … , 2022 2022 Citations: 1
Flexible Load and Renewable Energy Integration with Impact on Voltage Profile of a Large Size Grid B Vyas, V Dahiya, MP Sharma Smart Electrical Grid System, 31-51 , 2022 2022 Citations: 1
Flexible Load and Renewable Energy Integration with Impact on Voltage Profile of a Large Size Grid DVDDMPS Dr. Bhavesh Vyas Smart Electrical Grid System Design Principle, Modernization, and Techniques … , 2022 2022
Carbon Emission Reduction by Solving Real Time Grid Issues MMDMPS Dr. Bhavesh Vyas,Dr.Vineet Dahiya INNOVATION IN ENERGY MANAGEMENT AND RENEWABLE RESOURCES-2022 2 , 2022 2022
Sustainable energy generation using innovative engineering techniques M Chaudhary, B Vyas, M Katoch, P Negi, T Miroshnikova Materials Today: Proceedings 69, 524-529 , 2022 2022
Solar panels salvaging for safety & sustainability K Rathi, B Vyas, P Acharya, J Vyas, A Dixit Materials Today: Proceedings 69, 519-523 , 2022 2022 Citations: 4
Carbon emission reduction by amalgated perovskite structure as suitable lead substitute B Vyas, V Dahiya, P Rawat, T Miroshnikova Materials Today: Proceedings 69, 508-512 , 2022 2022
Reactive Power Management Assessment and Planning for Improving Voltage Profile of Power System MKGMPS Bhavesh Vyas, http://hdl.handle.net/ 10603/ Suresh Gyan Vihar University , 2021 2021
Assessment and Impact of Var Injection Devices on System Parameters B Vyas, M Kumar Gupta, MP Sharma Journal of The Institution of Engineers (India): Series B 102 (3), 437-445 , 2021 2021 Citations: 3
Identification & reduction of circulating MVAR loops at high voltage substations D Mitra, MP Sharma, T Suman, B Vyas 2020 21st National Power Systems Conference (NPSC), 1-6 , 2020 2020 Citations: 8
Assessment of voltage changeability with reactive power source allotment for real time network B Vyas, MK Gupta, MP Sharma Sādhanā 45 (1), 233 , 2020 2020 Citations: 4
Assessment and Impact of VAR Injection Devices on System Parameters before 100% Renewable Grid B Vyas, MK Gupta, MP Sharma 2020 IEEE International Conference on Computing, Power and Communication … , 2020 2020 Citations: 4
MOST CITED SCHOLAR PUBLICATIONS
Distributed volt ampere reactive power compensation of modern power system to control high voltage B Vyas, MK Gupta, MP Sharma Journal of The Institution of Engineers (India): Series B 101 (1), 93-100 , 2020 2020 Citations: 15
Methodology for valuation of shunt capacitor bank in power grid N Sharma, MP Sharma, S Singh, B Vyas 2019 10th International Conference on Computing, Communication and … , 2019 2019 Citations: 12
Power loss reduction of 11 kV feeder using capacitor banks to distribution transformers—a case study V Mishra, MP Sharma, B Vyas, SR Ola 2016 IEEE 1st International Conference on Power Electronics, Intelligent … , 2016 2016 Citations: 12
Circulating MVAR control in Rajasthan (India) transmission system R Panwar, V Sharma, MP Sharma, B Vyas 2016 IEEE 1st International Conference on Power Electronics, Intelligent … , 2016 2016 Citations: 10
Feeder Reconfiguration of distribution network using Minimum Power Flow methodology B Vyas, MP Sharma, S Jain 2015 Annual IEEE India Conference (INDICON), 1-6 , 2015 2015 Citations: 9
Identification & reduction of circulating MVAR loops at high voltage substations D Mitra, MP Sharma, T Suman, B Vyas 2020 21st National Power Systems Conference (NPSC), 1-6 , 2020 2020 Citations: 8
High voltage mitigation of EHV system by shunt reactor vs shunt capacitor RK Agrawal, MP Sharma, NK Kumawat, B Vyas 2019 8th International Conference on Power Systems (ICPS), 1-6 , 2019 2019 Citations: 8
Loss reduction & reactive power support in Rajasthan power system: A case study S Prajapat, MP Sharma, S Johri, B Vyas 2017 Innovations in Power and Advanced Computing Technologies (i-PACT), 1-6 , 2017 2017 Citations: 7
Loss reduction of 220 kV substation with optimum reactive power management at 33 kV voltage level a case study A Dandotia, H Kaushik, MP Sharma, B Vyas 2016 IEEE 7th Power India International Conference (PIICON), 1-6 , 2016 2016 Citations: 7
A case study for loss reduction in distribution networks using shunt capacitors S Saini, MP Sharma, B Vyas, M Gupta 2016 IEEE 1st International Conference on Power Electronics, Intelligent … , 2016 2016 Citations: 7
Loss reduction of Rajasthan power system with Distributed Generation in transmission network P Rani, MP Sharma, B Vyas, SR Ola 2016 IEEE 1st International Conference on Power Electronics, Intelligent … , 2016 2016 Citations: 7
Comparative thermo-hydraulic analysis of periodic stepped open micro pin-fin heat sink P Bhandari, B Vyas, D Padalia, L Ranakoti, YK Prajapati, RS Bangari Archives of Thermodynamics 45 (3), 99-105 , 2024 2024 Citations: 5
Sustainable development of agriculture feeders by solar-var incorporation B Vyas, M Gupta, MP Sharma, A Dandotia Proceedings of International Conference on Sustainable Computing in Science … , 2019 2019 Citations: 5
Solar panels salvaging for safety & sustainability K Rathi, B Vyas, P Acharya, J Vyas, A Dixit Materials Today: Proceedings 69, 519-523 , 2022 2022 Citations: 4
Assessment of voltage changeability with reactive power source allotment for real time network B Vyas, MK Gupta, MP Sharma Sādhanā 45 (1), 233 , 2020 2020 Citations: 4
Assessment and Impact of VAR Injection Devices on System Parameters before 100% Renewable Grid B Vyas, MK Gupta, MP Sharma 2020 IEEE International Conference on Computing, Power and Communication … , 2020 2020 Citations: 4
Integrated approach for loss reduction in power system M Manglani, SR Ola, MP Sharma, B Vyas 2016 IEEE 7th Power India International Conference (PIICON), 1-6 , 2016 2016 Citations: 4
Assessment and Impact of Var Injection Devices on System Parameters B Vyas, M Kumar Gupta, MP Sharma Journal of The Institution of Engineers (India): Series B 102 (3), 437-445 , 2021 2021 Citations: 3
Optimum tap position of 400 kV transformer in Rajasthan power system P Mishra, MP Sharma, T Agarwal, B Vyas 2019 Women Institute of Technology Conference on Electrical and Computer … , 2019 2019 Citations: 3
Radial configuration of ring main distribution system using least apparent power flow method B Vyas, MP Sharma, S Jain International Journal of Scientific Engineering Research 6 (4) , 2015 2015 Citations: 3
