Prof. Dr. Mrinmoy Roy - A journey of educational excellence and research innovations

 

Dr. Mrinmoy Roy, Associate Professor, PES University

 

I am Professor (Dr.) Mrinmoy Roy, an educator and committed expert with experience in industry, research, academia, and teaching, driven by a strong desire to employ cutting-edge teaching techniques to motivate and educate management students. I bridge minds and markets by blending academic insight with industry grit to empower future business leaders. I have 16 years of Industry and Academic experience, including experience in MNCs and the consulting space. I extensively worked in PAN India and Southeast Asia and transitioned Pharmaceutical Sales and Marketing in a franchise business model from an administrative to a strategic business partnership, specifically in the product management space. My industry experience spans healthcare industries like pharmaceuticals, hospitals, and public health. I have developed and implemented key strategic initiatives aligned with business needs. My expertise extends to Product Design and development, New Product Launches, Portfolio Management, Market Research, Operational Interventions and formulation of business-specific marketing processes and procedures. As a driven exemplar, I am a certified Management Consultant, Mentor and Coach dedicated to cultivating robust connections with young and innovative minds to promote values and ethics. I also possess specialised knowledge and skills in the areas of business and data analytics, general management and IT and Systems Management. In addition to my teaching and research responsibilities, I am actively involved in consultancy, and curriculum design, and am the resource person for a wide range of events, including Faculty Development Programmes (FDPs), student enrichment programs, seminars, workshops, webinars, and conferences. I have experience as a keynote speaker at both national and international events, where I have also acted as an article reviewer and session chair for prestigious international forums. Given that learning is an ongoing process, I am excitedly looking forward to engaging in new opportunities and tasks.

 

Educational Qualifications

 

EDUCATION	COURSE / DEGREE	YEAR	INSTITUTION
Doctorate	PhD, Operations Research and Management (Healthcare -AI)	2024	Mittal School of Business-Lovely Professional University (NIRF Rank #34), ACBSP USA Accredited and NAAC A++
Masters	MSc., Computer Science	2022	Alagappa University, (NAAC A+, Category 1 University by MHRD -UGC)
Masters	MBA, International Business & Strategic Marketing	2019	Institute of Chartered & Financial Analyst of India University (NAAC B+, UGC, AIU, ACU)
Bachelors	B Pharma	2008	Rajiv Gandhi University of Health Sciences (PCI, UGC, AIU, ACU)
Diploma	Diploma in Bioinformatics	2006	Bioinformatics Institute of India, Noida (ISO 9001:2008)
Diploma	Diploma in Pharmacy	2005	Drugs Control Department, Board of Examining Authority, Karnataka
Certifications	Generative Artificial Intelligence	28-29 Oct, 2023	Analytics Society of India, IIM B & CET School of Management, Trivandrum
Certifications	Transforming Learning: The NEP Way	17-19 Oct,  2023	CPD Certified, Skill India, Ministry of Education
Certifications	Developing Future-Ready Education Today	17-19 Oct, 2023	CPD Certified, Skill India, Ministry of Education
Certifications	Public Policy and Management	22-24 Aug, 2023	Centre for Public Policy, IIM Bangalore
Certifications	Machine Learning Operations	13-14 Dec, 2022	Data Centre & Analytics Lab IIM B, Analytics Society of India, DCAL
Certifications	Information Systems Curriculum & Pedagogy Practicum	26-27 Aug, 2022	Centre for Software & Information Technology Management, IIM B, AIS India
Fellowship	Dignity Health Equity Impact Scholarship for Healthcare Leadership	2022	Duke University, [Southern Association of Colleges and Schools Commission on Colleges (SACSCOC) Southern Lane, Decatur, Georgia (#23 Best Global University)]
Certifications	Implementation Science for Effective Implementation of Health Programs – Lessons Learnt from Global Polio Eradication Initiative	2021	IIHMR University, Jaipur
Certifications	Research Associate Program in Life Sciences (Nanotechnology)	2021	BIOLIM Centre for Science & Technology, A Member Organization of BCIL (Biotech Consortium India Ltd.)
Certifications	Essentials of Good Pharmacy Practice	2021	Taipei Medical University, Federation of Asian Pharmaceutical Association
Certifications	International Good Clinical Practice	2021	Faculty of Pharmaceutical Medicine, Royal College of Physicians, UK
Certifications	Council of Scientific & Industrial Research Training Program	2020	CSIR-NEIST Jorhat
Certifications	Artificial Intelligence & Machine Learning in Healthcare	2020	BIT, Mesra
Certifications	Digital Marketing	2020	Google
Certifications	E-Commerce	2019	eMarketing Institute
Certifications	Business & Management Development Program	2019	INNOVARA INC
Certifications	Brand Management	2014	MEIVEN Marketing & Consulting Inc, Philippines

 

These scholastic achievements serve as the foundation for my skills and accomplishments in the fields of academia, research, and professional practice.

During the early stages of my education, I developed a strong inclination to closely observe my teachers. I would carefully analyse their various ideologies and approaches, critically evaluate their teaching methods, and determine which ways were most effective in facilitating my learning. By persistently pursuing this analysis from high school to college and graduate school, I gradually and purposefully accumulated a repertoire of efficient teaching methodologies. The culmination of my extensive observation and research over the years, along with the ongoing lessons I derive from my personal teaching experience, leads me to prioritise a fundamental principle in the classroom: clarity. This entails effectively delivering information, clearly outlining expectations, and articulating educational objectives. My objective in all of the courses I instruct is for every student to cultivate a comprehensive understanding of the world and, concurrently, to exert influence on their peers by inspiring and motivating them to engage in further study. This may be achieved by altering their perspectives and convictions on a particular subject, through contemplation facilitated by the transmission of new information, and/or by revisiting and reassessing their existing knowledge. To achieve this, the visual representations and language I employ to elucidate ideas must be presented lucidly. Nevertheless, I do not consider clarity to be synonymous with simplicity. Simplistic explanations tend to elicit more inquiries and result in more misunderstandings compared to well-structured lectures that meticulously elucidate the intricacies, subtleties, and intricacies of most ideas. Clarity is evident in my teaching, as I carefully choose the most efficient techniques to teach the different marketing and strategy principles in my courses, catering to the varied spectrum of students in my classes. Frequently, I discover that the most efficient approach to teaching is to engage in active learning. Therefore, although I primarily use lecturing as my teaching method, I also incorporate a variety of techniques that are specifically chosen for each topic based on careful observation, analysis, and my own teaching experience. Irrespective of the techniques I employ, I strongly believe that my teaching sessions need to be meticulously structured. I must proactively anticipate and resolve potential misunderstandings, and I must consistently verify comprehension with my students to confirm their understanding of the topic.

 

 

About Professional Journey

 

Firstly, I am a qualified Pharmacist who graduated from Rajiv Gandhi University of Health Sciences, Bangalore, India. After completing my graduation, I started my internship as a Management Trainee at Cipla in 2008. The next year, I moved on to join Lupin Ltd. as a Marketing Executive. I continued there for three and a half years. During that time, I came across the pain of people in rural India for not getting timely medicine and quality treatment for any ailments, as I used to travel a lot by bike every day to meet Doctors around and on the outskirts of Bangalore City and promote my brands to them, also going to remote villages far from cities. After this, I moved to Manila, Philippines, with an assignment as a Sales and Marketing Manager for that country. During that tenure, my eyes were wide open, as the pain point was very similar for the people over there, as they also faced challenges for accessibility and affordability of quality medical care for the masses. I came back to India to complete my MBA successfully in International Business and Strategic Marketing, but I want to pursue more because I have the zeal to work for the people of India in terms of Healthcare Technology and the accessibility of quality medical care for rural India. So, I enrolled for a PhD in Operations Research and Management in Artificial Intelligence in Healthcare Adoption in India while I was working as a Product Manager for three different divisions at Glenmark Pharmaceuticals Ltd. in Mumbai. The very next year, the COVID-19 Pandemic strikes worldwide. I worked for Faviflu (Favipiravir 200/400 mg), one of the adjunct treatment options for COVID-19, during that time. Later, I joined AstraZeneca Pharma India Limited, where I worked as a Strategic Account Manager for Oncology Products.

 

My academic career started with the Institute of Health Management Research (IIHMR) in Bangalore as an Assistant Professor. There, I set up and spearheaded the Pharmaceutical Management Course, designed the curriculum, and taught different modules. Also, I have taken modules in Health Information Technology, HMIS, Medical Coding Standards for HIT Specialization and different services in Hospital and Healthcare Management. I was also a member of the core team to launch the Program on Advancing Digital Healthcare, Management, Innovation, Research, and Entrepreneurship (ADMIRE). At present, I am working as an Associate Professor in the Faculty of Management of Commerce at PES University. Currently, I am teaching Business Forecasting, Data and Decisions for MBA, Social Media Analytics for BCom ACCA, Quantitative Techniques for BBA Analytics Batch, and Marketing Management Minor for B.Tech. Final year students. Earlier, I taught Brand Management, Big Data (Hadoop), and Database Management System Modules for the MBA 4th trimester and Data and Decision for Managers (Statistics with Excel) for B.Com. first-year students. Taught Sales & Distribution Module, DBMS for MBA 3rd trimester, and Strategic Management for MBA second-trimester students.

 

 

Research Topics and Interests

 

My research interests are Health and pharmaco-economics, Affordable Healthcare Technologies, Technology Acceptance Models, Information Systems and management across different domains of Industries. I was one of the researchers who conducted a unique perception study along with a critical review and analysis of Artificial Intelligence Intervention in the Education Systems of India during the COVID-19 Pandemic, which was published in a journal named Solid State Technology (Scopus Indexed) under the name "AI Intervention in the Education System of India: An Analysis." I have publications in reputed academic journals like the Journal of Public Health, Informatics for Health & Social Care, and Journal of Diabetes & Metabolic Disorders. I actively participate in international conferences, presenting my research findings and fostering collaborations with scholars worldwide. This global perspective keeps me at the forefront of knowledge in my chosen fields.

 

My research interests span a remarkable breadth of healthcare domains, highlighting a passion for improving public health through various technological and strategic interventions. Here's an analysis of my diverse focus areas:

 

Public Health & Medical Technology: This combination suggests an interest in leveraging technology to address population-level health challenges. I am exploring areas like telemedicine for remote healthcare access, mHealth for disease surveillance, or AI-powered diagnostics for early intervention.

 

Digital Health Strategy & Healthcare Product Feasibility: This indicates a strategic bent, focusing on the implementation and effectiveness of digital health solutions. I delve into developing sustainable digital health programs, evaluating the feasibility of healthcare products, or designing user-centred healthcare apps.

 

Nursing/Mother-Baby Care & Healthcare Counselling: This reflects a concern for individual well-being and care delivery. I am exploring improving mother-baby care through technology, developing patient education programs, or researching the impact of nurse-patient communication on health outcomes.

 

Healthcare Awareness & Healthcare Data: This highlights an interest in data-driven approaches to improve health literacy and outcomes. I am exploring using data visualization to raise awareness about public health issues, analyzing healthcare data to identify trends and disparities, or developing AI-powered tools for personalized health education.

 

Medical Data Analysis Algorithm & Healthcare Access to Transgenders: This demonstrates a commitment to using technology for equity and inclusion in healthcare. I want to research developing algorithms for unbiased medical data analysis, designing interventions to improve healthcare access for marginalized communities like transgender individuals, or using technology to address specific health challenges faced by these communities.

 

Pharmacy Practice & Smart Healthcare Monitoring: This indicates an interest in optimizing medication management and patient monitoring. I am exploring developing AI-powered medication adherence programs, researching the use of wearable devices for remote patient monitoring, or analyzing pharmacy data to identify potential drug interactions.

 

 

History and Origin of AI, Technology Acceptance Models, & Health-Pharmacoeconomics: This reflects a broader perspective on the development and implementation of healthcare technologies. I want to explore the ethical implications of AI in healthcare, research user adoption of new health technologies, or analyze the cost-effectiveness of different healthcare interventions.

 

This diverse blend of interests positions me to make a significant impact in various healthcare domains. By combining my passion for public health with my expertise in different technologies and strategies, I want to contribute to advancements in areas like:

 

• Developing equitable and accessible healthcare solutions for all
• Leveraging technology to improve preventative care and early intervention
• Personalizing healthcare delivery and education based on individual needs
• Optimizing healthcare systems for efficiency and cost-effectiveness

 

 

My few premiere Research works are as follows:

 

IoT & long-range radio (LoRa) based air quality sensing through hyper-automation to manage critical temperature-reducing blood and plasma product wastages

 

Focus:

• Utilizing LoRa-based air quality sensors and an IoT platform to precisely monitor and control temperature in hospital blood banks.
• Reducing significant blood wastage (7 lakh units annually in India) due to temperature fluctuations.

 

Significance:

• Saves lives: Ensures the safety and efficacy of blood products, leading to better patient outcomes.
• Reduces costs: Eliminates waste from outdated blood, saving healthcare institutions millions annually.
• Improves efficiency: Provides real-time data and automated control for optimal blood bank management.
• Addresses a critical gap: Tackles communication issues between blood bank stakeholders through real-time data visibility.
• Scalable and affordable: Utilizes LoRa technology, suitable for densely populated areas with lower-cost infrastructure.

 

Potential Impact:

• National-level solution: Addresses a major issue across India's healthcare system.
• Globally applicable: Adaptable to various healthcare settings worldwide.
• Promotes sustainable blood management: Contributes to responsible use of valuable blood resources.
• Sets a precedent for hyper-automation: Encourages the use of IoT for improved healthcare infrastructure.
• Improves public health: Ensures access to safe and effective blood products for all.

 

A strategic roadmap to the successful implementation of digital health records in India

 

Focus:

·         This research focuses on developing a strategic roadmap for the successful implementation of digital health records (DHR) in India. It addresses the challenges and opportunities unique to the Indian context, aiming to create a sustainable and impactful model for nationwide adoption.

 

Significance:

• Improving healthcare delivery: DHRs enable better care coordination, diagnosis, and treatment due to accessible and accurate medical information.
• Empowering patients: Patients gain control over their health data, promoting informed decision-making and engagement in their care.
• Enhancing public health initiatives: DHR data facilitates improved disease surveillance, public health research, and targeted interventions.
• Boosting healthcare efficiency: Streamlines administrative processes, reduces redundant tests, and optimizes resource allocation.
• Promoting equity and access: DHRs can bridge healthcare disparities by enabling remote consultations and wider data availability.

 

Potential Impact:

• Transforming healthcare in India: Creates a national foundation for improved healthcare quality and accessibility.
• Serving as a global model: Provides valuable insights and lessons for other countries implementing DHR systems.
• Empowering citizens: Improves health outcomes and fosters individual responsibility for health management.
• Generating economic benefits: Increased efficiency and reduced costs contribute to healthcare sustainability.
• Sparking innovation: Stimulates the development of new healthcare technologies and data-driven solutions.

 

A Comparative Study of Electronic Health Record (EHR) Systems in US Healthcare -A Systematic Review

 

Focus:

 

·         This research conducts a comparative analysis of EHR systems in the context of US healthcare. It systematically reviews existing literature to evaluate various EHR systems based on specific criteria (e.g., functionality, interoperability, security, ease of use, cost).

 

Significance:

• Provides objective insights: The systematic review ensures a thorough and unbiased comparison of different EHR systems.
• Helps healthcare institutions choose the right system: The research equips decision-makers with valuable information to select the EHR best suited to their needs and budget.
• Improves EHR implementation success: Understanding the strengths and weaknesses of different systems can lead to more informed implementation strategies and higher adoption rates.
• Highlights key trends and challenges: The research identifies critical aspects of EHR systems in the US, including areas for improvement and future development.
• Informs policy and regulation: Insights from the study can inform policymakers and regulators on how to promote optimal EHR adoption and usage.

 

Potential Impact:

• Enhanced patient care: Selecting the right EHR system can contribute to improved care coordination, reduced medical errors, and better clinical outcomes.
• Increased healthcare efficiency: Optimized EHR systems can lead to streamlined workflows, reduced administrative burden, and better resource allocation.
• Improved data sharing and interoperability: The study may encourage the development of more interoperable EHR systems, facilitating seamless data exchange across healthcare providers.
• Advancement of EHR technology: Identifying limitations and highlighting future directions can guide developers in improving EHR functionality and user experience.
• Reduced healthcare costs: Choosing the most appropriate EHR system can potentially contribute to cost savings for healthcare institutions and patients.

 

A Conceptual Framework Architecture for AI-Based Remote Patient Monitoring in Diabetes (RPM-D): Gap Analysis and Feasibility Assessment

 

Focus:

·         This research develops a conceptual framework architecture for AI-based Remote Patient Monitoring (RPM) in Diabetes (RPM-D). It identifies gaps in existing systems and assesses the feasibility of implementing this framework to improve diabetes management.

 

Significance:

• Improves diabetes management: Enables personalized and continuous monitoring, leading to better blood sugar control and reduced complications.
• Empowers patients: Provides real-time information and feedback, encouraging self-management and active participation in their care.
• Boosts healthcare efficiency: Reduces hospital visits and resource utilization through remote monitoring and early intervention.
• Addresses accessibility gaps: Enables convenient and effective care for patients in remote areas or with limited mobility.
• Leverages AI potential: Utilizes AI algorithms for personalized insights, risk prediction, and tailored interventions.

 

Potential Impact:

• Transforms diabetes care: Creates a new paradigm for patient-centered, data-driven management of diabetes.
• Reduces healthcare costs: Lower hospital admissions, readmissions, and complications lead to significant cost savings.
• Improves population health: Proactive and personalized care can contribute to lower diabetes prevalence and associated morbidity.
• Informs future development: Provides valuable insights and feasibility assessment for implementing AI-based RPM-D systems.
• Promotes research and innovation: Stimulates further exploration of AI applications in chronic disease management.

 

Breastfeeding Practices: Positioning, Attachment, and Awareness of Colostrum Feeding among Postnatal Mothers: A Hospital-Based Mixed Methods Study

 

Focus:

·         This research investigates breastfeeding practices with a specific focus on positioning, attachment, and awareness of colostrum feeding among postnatal mothers in a hospital setting. It employs a mixed-methods approach combining quantitative observations and qualitative interviews with healthcare professionals.

 

Significance:

• Improves breastfeeding success: Optimizing positioning, attachment, and colostrum feeding knowledge are crucial for successful breastfeeding initiation and duration, leading to better health outcomes for both mothers and babies.
• Identifies potential gaps and challenges: By examining current practices and awareness levels, the research can identify areas where interventions and educational programs are needed to improve breastfeeding support.
• Informs evidence-based practices: The findings contribute to the body of knowledge surrounding breastfeeding practices, informing better clinical guidelines and training for healthcare professionals.
• Addresses specific populations: Focusing on postnatal mothers in a hospital setting provides valuable insights relevant to a critical period for establishing breastfeeding.
• Highlights cultural context: The findings can inform culturally sensitive and relevant interventions tailored to specific populations.

 

Potential Impact:

• Reduced infant morbidity and mortality: Improved breastfeeding practices contribute to decreased rates of infections, malnutrition, and other health issues in infants.
• Enhanced maternal health: Breastfeeding offers numerous health benefits for mothers, including reduced risk of postpartum depression, breast cancer, and type 2 diabetes.
• Improved child development: Breastfed babies exhibit better cognitive, emotional, and social development compared to formula-fed babies.
• Promotes sustainable healthcare: Increased breastfeeding rates decrease healthcare costs associated with infant and maternal health complications.

 

• Empowers mothers and families: Educating mothers and raising awareness about breastfeeding benefits can help them make informed decisions and feel supported in their breastfeeding journey.

 

A Qualitative Study on Burnout and Compassion Fatigue among Counsellors and Therapists

 

Focus:

·         This research takes a qualitative approach to explore the experiences of burnout and compassion fatigue among counsellors and therapists. It aims to understand the lived experiences of these professionals, including their thoughts, feelings, and coping mechanisms related to burnout and compassion fatigue.

 

Significance:

• Provides valuable insights: Qualitative research offers rich and nuanced understanding of complex phenomena like burnout and compassion fatigue, going beyond statistics and capturing the emotional impact on counsellors and therapists.
• Raises awareness: Increased knowledge about burnout and compassion fatigue can foster empathy and understanding for these professionals, highlighting the challenges they face in supporting others.
• Informs interventions and support: Identifying specific factors contributing to burnout and compassion fatigue can guide the development of targeted interventions and support mechanisms for counsellors and therapists.
• Improves mental health care: Supporting the well-being of counsellors and therapists ultimately leads to better mental health care for their clients, creating a stronger system of support.
• Contributes to research: This study adds valuable data to the existing body of research on burnout and compassion fatigue in helping professions, potentially informing future studies and interventions.

 

Potential Impact:

• Enhanced well-being for counsellors and therapists: Interventions based on research findings can help reduce burnout and compassion fatigue, leading to improved mental health and job satisfaction for these professionals.
• Improved quality of care: By supporting the well-being of counsellors and therapists, the quality of care they provide to their clients can potentially improve.
• Increased retention of professionals: Reduced burnout and compassion fatigue can lead to lower turnover rates, ensuring sufficient and experienced mental health professionals available to meet the needs of the community.
• Policy and advocacy: Research findings can inform policy changes and advocacy efforts to create better working conditions and support systems for counsellors and therapists.
• Stigma reduction: Openly discussing burnout and compassion fatigue can contribute to reducing stigma associated with these challenges, encouraging help-seeking behaviors among affected professionals.

 

Assessing Health Care Students' Knowledge, Attitude, and Preparedness Towards Monkeypox

 

Focus:

·         This research assesses the knowledge, attitude, and preparedness of healthcare students towards monkeypox. It aims to identify potential gaps in their understanding and readiness to handle this emerging zoonotic disease.

 

Significance:

• Provides critical insights: Understanding healthcare students' knowledge, attitude, and preparedness towards monkeypox helps identify areas where educational interventions are needed to ensure future healthcare professionals are well-equipped to manage the disease.
• Informs educational development: Research findings can be used to develop targeted educational programs that address identified gaps in knowledge, address any negative attitudes, and enhance preparedness for potential future outbreaks.
• Contributes to public health preparedness: Well-informed and prepared healthcare students can translate into a more capable and responsive healthcare workforce during a monkeypox outbreak, ultimately benefiting public health.
• Promotes early detection and intervention: Healthcare students with accurate knowledge and positive attitudes towards monkeypox are more likely to suspect and report cases early, leading to faster intervention and containment.
• Sets a precedent for future research: This study adds valuable data to the understanding of student perceptions and preparedness towards emerging diseases, informing future research and interventions for other diseases of potential concern.

 

Potential Impact:

• Improved knowledge and understanding: Healthcare students equipped with accurate and up-to-date information about monkeypox are better prepared to provide informed care and education to patients.
• Enhanced confidence and preparedness: Addressing negative attitudes and enhancing preparedness can instil confidence in healthcare students to effectively manage monkeypox cases.
• Reduced transmission and improved patient outcomes: Early detection and intervention by prepared healthcare professionals can contribute to lower transmission rates and better patient outcomes.
• Strengthened public health response: A more knowledgeable and prepared healthcare workforce can significantly contribute to a more effective public health response during a monkeypox outbreak.
• Informs educational practices: Research findings can guide the development of efficient and effective educational programs for future healthcare professionals on emerging diseases like monkeypox.

 

Concept of developing an 'unbiased' AI to spot & predict Alzheimer's Disease 6 years earlier than Clinical diagnosis

 

Focus:

·         This research proposes developing an unbiased AI capable of detecting and predicting Alzheimer's Disease (AD) six years earlier than current clinical diagnosis. It focuses on utilizing various data sources (e.g., brain scans, cognitive tests) and employing advanced machine learning techniques to achieve early and accurate identification of AD.

 

Significance:

• Early intervention potential: Identifying AD patients six years earlier allows for earlier intervention with potential treatments and lifestyle changes, potentially slowing disease progression and improving patient outcomes.
• Personalized medicine: Utilizing diverse data sources enables the development of personalized models for more accurate predictions and targeted interventions tailored to individual patients.
• Reduced healthcare burden: Earlier diagnosis and intervention can potentially mitigate the financial and emotional burden on patients, families, and healthcare systems.
• Improved research and development: This research contributes to the development of better diagnostic tools and potentially new treatment strategies for AD.
• Ethical considerations: Addressing bias in AI development is crucial for ensuring fairness and accuracy in diagnostic tools, contributing to ethical and responsible applications in healthcare.

 

Potential Impact:

• Transforming AD diagnosis: This approach could revolutionize AD diagnosis, allowing for proactive management and potentially delaying disease progression.
• Improving patient care: Earlier intervention leads to better patient care, potentially improving quality of life and delaying the need for long-term care.
• Reducing healthcare costs: Earlier diagnosis and intervention could translate to significant cost savings for healthcare systems by managing AD at an earlier stage.
• Sparking advancements in AD research: The success of this research could accelerate the development of new diagnostic tools and treatment options for AD.
• Ethical implications: Implementing unbiased AI requires careful consideration of potential biases in data collection, algorithms, and interpretation of results to ensure equitable access and outcomes for all individuals.

 

An Approach To Meet The Health Care Access & Needs Of Transgenders In India Addressing The Issue Of Racial And Ethnic Health Disparities

 

Focus:

·         This research focuses on developing an approach to address the healthcare access and needs of transgender individuals in India, specifically targeting the issue of racial and ethnic health disparities. It aims to identify existing barriers and propose culturally sensitive solutions to ensure equitable access to quality healthcare for this marginalized community.

 

Significance:

• Promotes health equity: By addressing the specific needs of transgender individuals, the research contributes to reducing healthcare disparities and promotes equal access to quality care for all.
• Improves understanding: The research sheds light on the unique challenges faced by transgender individuals in accessing healthcare due to racial and ethnic factors, raising awareness and informing policy changes.
• Informs culturally sensitive approaches: The research emphasizes the importance of developing culturally competent healthcare services that respect the identities and experiences of transgender individuals.
• Empowers the transgender community: The research findings can empower transgender individuals to advocate for their healthcare needs and demand better access to services.
• Contributes to broader social justice: Addressing healthcare disparities for transgender individuals aligns with broader social justice movements seeking equality and inclusion for all marginalized groups.

 

Potential Impact:

• Increased healthcare access: The proposed approach can lead to increased access to preventive, diagnostic, and treatment services for transgender individuals, improving their overall health outcomes.
• Reduced health disparities: By addressing specific barriers faced by transgender individuals due to racial and ethnic factors, the research can contribute to closing the health gap between different communities.
• Improved quality of care: Culturally sensitive healthcare services tailored to the needs of transgender individuals can lead to more effective and satisfying patient experiences.
• Empowerment and advocacy: The research findings can equip transgender individuals and organizations with knowledge and tools to advocate for their healthcare rights and needs.
• Policy and programmatic changes: The research can inform policy changes and the development of targeted programs to address healthcare disparities faced by transgender individuals in India.

 

Good Pharmacy Practice in India: Its past, Present and Future with Need and Status in COVID 19

 

Focus:

·         This research examines Good Pharmacy Practice (GPP) in India, analyzing its historical development, current status, and future directions, with a specific focus on its role and importance during the COVID-19 pandemic. It aims to assess the adherence to GPP standards, identify existing challenges, and propose solutions for strengthening ethical and quality pharmaceutical practices in India.

 

Significance:

• Ensuring medication safety and efficacy: Evaluating GPP adherence is crucial for safeguarding public health by ensuring the quality, safety, and effectiveness of medications dispensed in India.
• Strengthening healthcare systems: Improved GPP translates to more efficient and responsible medication use, potentially reducing healthcare costs and improving patient outcomes.
• Enhancing public trust: Examining GPP during COVID-19 sheds light on how pharmacy practices adapted to the pandemic, informing future preparedness and building public trust in the healthcare system.
• Informing policy and regulation: Research findings can contribute to developing and enforcing effective policies and regulations to ensure GPP compliance and improve pharmacy practices in India.
• Promoting global health standards: Analyzing GPP in India contributes to the broader goals of aligning pharmaceutical practices with international standards and best practices.

 

Potential Impact:

• Improved medication quality and safety: Enhanced GPP adherence can lead to reduced medication errors, counterfeit drugs, and adverse drug reactions, ultimately improving patient safety.
• More rational drug use: Adherence to GPP principles encourages evidence-based prescribing and dispensing, promoting the appropriate use of medications and potentially reducing antibiotic resistance.
• Strengthened pharmacy workforce: Research findings can inform training programs and capacity building initiatives for pharmacists, enhancing their knowledge and skills to adhere to GPP standards.
• Informed policy interventions: The research can guide policymakers in developing effective interventions to address identified challenges and strengthen GPP implementation in India.
• Global collaboration: Sharing research findings and best practices can contribute to improving pharmacy practices globally and promoting responsible medication use worldwide.

 

Emerging Trends to Improve Business Operations and Customer Experience Through a Blend of Data Science, Machine Learning & Artificial Intelligence

 

Focus:

·         This research explores emerging trends leveraging data science, machine learning, and artificial intelligence (AI) to enhance business operations and customer experience. It investigates how these technologies are being integrated into various aspects of businesses, identifying successful applications and potential future directions.

 

 

Significance:

• Provides insights into cutting-edge practices: By analyzing emerging trends, the research equips businesses with valuable knowledge about innovative approaches to improve operations and customer experience.
• Informs strategic decision-making: Identifying the potential and limitations of these technologies helps businesses make informed decisions about investments and implementation strategies.
• Highlights competitive advantages: Understanding how these technologies are used by competitors can guide businesses in adopting similar or differentiated approaches to gain a competitive edge.
• Contributes to industry knowledge: The research adds to the body of knowledge surrounding the application of data science, machine learning, and AI in business contexts, informing future research and development.
• Promotes innovation and adaptability: By showcasing emerging trends, the research encourages businesses to be innovative and adaptable in utilizing these technologies to meet evolving customer needs and market demands.

 

Potential Impact:

• Enhanced operational efficiency: Implementing data-driven solutions can optimize processes, resource allocation, and decision-making, leading to cost savings and improved productivity.
• Personalized customer experiences: Leveraging AI and machine learning can personalize marketing, communication, and product recommendations, fostering customer loyalty and satisfaction.
• Improved risk management: Utilizing data analytics can predict and mitigate potential risks, leading to better financial performance and operational resilience.
• Development of new business models: Emerging trends may pave the way for entirely new business models driven by data science, machine learning, and AI, leading to market disruption and innovation.
• Increased competition within industries: Widespread adoption of these technologies could intensify competition within industries, demanding continuous innovation and adaptation from businesses.

 

AI based Smart Healthcare Monitoring in India in Response to COVID 19: A Concept Based Approach for Patients with Non-Communicable Diseases

 

Focus:

·         This research proposes a concept-based approach for utilizing AI-based smart healthcare monitoring in India to specifically address the needs of patients with non-communicable diseases (NCDs) during the COVID-19 pandemic. It focuses on leveraging AI technology to remotely monitor patients' health, improve disease management, and optimize healthcare resource allocation.

 

Significance:

• Addresses critical gap: NCD patients face heightened vulnerabilities during pandemics due to compromised immune systems. This research addresses the gap in remote monitoring solutions specifically catering to their needs.
• Enhanced disease management: Real-time data from AI-powered monitoring can enable early detection of complications, personalized interventions, and improved adherence to treatment plans.
• Reduced healthcare burden: Remote monitoring can alleviate pressure on healthcare systems by reducing unnecessary hospital visits and admissions, particularly during a pandemic.
• Improved patient outcomes: Proactive management of NCDs can lead to better health outcomes for patients, potentially reducing mortality and morbidity rates.
• Promotes equitable access to care: AI-based solutions can bridge geographical barriers and ensure access to quality healthcare for NCD patients in remote areas.

 

Potential Impact:

• Enhanced patient well-being: Improved disease management and timely interventions can significantly improve the quality of life and overall health of NCD patients during and after the pandemic.
• Reduced healthcare costs: Remote monitoring can lead to cost savings for both patients and healthcare systems by optimizing resource allocation and preventing unnecessary hospitalizations.
• Strengthened healthcare infrastructure: Implementing this approach can contribute to building a more resilient and responsive healthcare system prepared for future public health challenges.
• Data-driven decision making: Real-time data insights can inform public health policies and interventions tailored to the specific needs of NCD patients during pandemics.
• Advancement of AI in healthcare: The success of this approach can pave the way for the wider adoption of AI-powered solutions in managing NCDs and other chronic conditions.

 

Evaluating The Scope of Blockchain Technology in ensuring Food Safety During the Covid 19 Pandemic

 

Focus:

·         This research evaluates the scope and potential of blockchain technology in assuring food safety during the COVID-19 pandemic. It examines how blockchain's inherent features of immutability, transparency, and traceability can be leveraged to enhance food safety measures throughout the supply chain, addressing specific challenges presented by the pandemic.

 

Significance:

• Increased transparency and traceability: Blockchain allows for tracking food provenance from farm to fork, enabling identification of contamination sources and facilitating targeted recalls, especially crucial during pandemics when disruptions and vulnerabilities occur.
• Enhanced consumer trust: Consumers gain access to verifiable information about their food, fostering trust and confidence in food safety practices.
• Improved food safety management: Real-time data on temperature, storage conditions, and handling practices throughout the supply chain can be monitored and analyzed, informing preventive measures and risk mitigation strategies.
• Reduced food waste: Increased efficiency and transparency in the supply chain can minimize food waste caused by spoilage or lack of information, particularly critical during periods of increased demand and potential disruptions.
• Empowering stakeholders: Farmers, distributors, retailers, and consumers benefit from a secure and shared platform for data exchange, promoting collaboration and accountability for food safety.

 

Potential Impact:

• Reduced foodborne disease outbreaks: Improved traceability and early detection of contamination can significantly reduce the spread of foodborne diseases, protecting public health during pandemics.
• Strengthened food safety regulations: Insights from blockchain applications can inform the development and enforcement of more effective food safety regulations and quality control standards.
• Stimulating innovation: The success of blockchain applications can incentivize further development of innovative solutions for food safety monitoring and management across the industry.
• Enhanced sustainability: Reduced food waste and improved efficiency can contribute to a more sustainable food system, aligning with broader environmental goals.
• Global application: The findings can be relevant beyond the specific context of the COVID-19 pandemic, promoting wider adoption of blockchain technology for improved food safety globally.

 

Progressing towards AI based Diabetes Diagnosis services: Current status, applications, developmental barriers and prospects in Maharashtra & Karnataka, India

 

Focus:

·         This research focuses on exploring the current status, applications, developmental barriers, and prospects of AI-based diabetes diagnosis services in Maharashtra and Karnataka, India. It aims to assess the progress of this technology in these specific regions and identify key factors influencing its implementation and potential impact.

 

Significance:

• Provides regional insights: By focusing on two specific states, the research offers valuable insights into the unique challenges and opportunities for AI-based diabetes diagnosis in India, a country with a high prevalence of this disease.
• Informs national and regional policy: The findings can inform policy decisions and initiatives at both national and regional levels to support the development and implementation of AI-based diagnostic tools for diabetes.
• Highlights specific barriers and prospects: Identifying the key barriers like data availability, infrastructure, and regulatory issues allows for targeted efforts to overcome them and accelerate progress.
• Contributes to broader diabetes management: Improved and early diagnosis is crucial for effective diabetes management, potentially leading to better health outcomes and reduced healthcare costs.
• Informs future research and development: By understanding the current landscape and future prospects, the research can guide further research and development efforts in AI-based diabetes diagnosis in India.

 

Potential Impact:

• Increased access to early diagnosis: AI-based services can improve access to diagnosis, especially in remote areas with limited healthcare resources.
• Improved accuracy and efficiency: These services can potentially lead to more accurate and efficient diagnosis compared to traditional methods.
• Personalized care: AI algorithms can analyze individual data and suggest personalized treatment plans, contributing to better patient outcomes.
• Reduced healthcare burden: Early diagnosis and treatment can potentially reduce the burden on healthcare systems by preventing complications and hospitalizations.
• Empowering patients: AI-based tools can enable patients to actively participate in their own diabetes management through self-monitoring and data analysis.

 

An Exploratory study on Origin of AI: Journey through the Ancient Indian Texts & other technological descriptions, its past, present & future

 

Focus:

·         This research focuses on the potential origin of Artificial Intelligence (AI) by exploring ancient Indian texts and other technological descriptions, examining their relevance to modern AI concepts and exploring the possible connections between past ideas and present-day technology.

 

Significance:

• New perspectives on AI origin: This research offers a unique perspective on the history of AI, potentially challenging traditional narratives and enriching our understanding of the evolution of intelligent systems.
• Interdisciplinary approach: By connecting ancient texts with modern technology, the research fosters interdisciplinary dialogue and encourages broader historical and cultural understanding of AI.
• Preserving cultural heritage: Exploring traditional knowledge systems related to AI could contribute to the preservation and appreciation of cultural heritage in India and beyond.
• Stimulating public interest: Examining the possible connections between ancient ideas and modern AI can spark public interest in the history and potential of this technology.
• Informing future development: Examining past visions of AI might offer inspiration and insights for the future development of intelligent systems, promoting ethical and responsible approaches.

 

Potential Impact:

• Shifting narratives: This research might challenge dominant narratives about the Western origins of AI, contributing to a more diverse and inclusive understanding of technological development.
• Cultural collaboration: Exploring commonalities between ancient and modern AI concepts could foster cross-cultural dialogue and collaboration in AI research and development.
• Promoting ethical AI: Examining historical perspectives on AI ethics and societal concerns can inform the development of responsible and beneficial AI systems in the future.
• New research avenues: This research could open up new avenues for historical and scientific inquiry into the origins and evolution of AI across different cultures and contexts.
• Engaging broader audiences: Public interest generated by this research could raise awareness and understanding of AI among diverse audiences, promoting informed discussions and participation in shaping its future.

 

AI-Powered Workforce Management and Its Future in India

 

Focus:

·         This research explores the potential of AI-powered workforce management solutions in India, examining their current applications, future outlook, and potential impact on the Indian workforce. It likely dives into how AI can be used to automate tasks, optimize processes, analyze data, and provide insights for improved HR and talent management practices.

 

Significance:

• Enhanced efficiency and productivity: AI can automate routine tasks, free up human resources for more strategic work, and optimize scheduling and resource allocation, potentially leading to increased efficiency and productivity in Indian organizations.
• Data-driven decision making: AI-powered analytics can provide valuable insights into workforce trends, employee performance, and skills gaps, informing better decision-making in areas like recruitment, training, and talent development.
• Improved employee engagement and well-being: AI can personalize learning and development opportunities, promote flexible work arrangements, and automate administrative tasks, potentially leading to more engaged and satisfied employees.
• Addressing talent shortages: AI can help employers attract and retain talent by offering personalized career paths, skill development opportunities, and data-driven insights for talent acquisition strategies.
• Adapting to changing trends: AI can help organizations adapt to rapid technological advancements and changing workplace dynamics by automating routine tasks, upskilling employees, and anticipating future workforce needs.

 

Potential Impact:

• Economic growth: Increased efficiency and productivity driven by AI-powered workforce management can contribute to economic growth in India.
• Improved skills development: Data-driven insights from AI can inform targeted training and upskilling programs, closing skill gaps and preparing the Indian workforce for emerging opportunities.
• Reduced gender gap: AI-powered recruitment and talent management practices can help eliminate bias and promote equal opportunities for all genders in the Indian workforce.
• Greater job creation: While some tasks may be automated, AI can also create new job opportunities in areas like data analysis, AI development, and human-machine collaboration.
• Transforming HR practices: AI can fundamentally change the role of HR, shifting from administrative tasks towards strategic talent management and employee experience optimization.

 

 

Publications and Career Achievements

 

Publications

 

Research Output:

• National/International Publications: 37
• Papers Presented: 35
• Case Studies Developed: 4

 

Academic Engagements:

• Conferences Attended: 20
• Workshops/Webinars/Seminars Conducted: 45
• Faculty Development Programs (FDPs): 25

 

Professional Credentials:

• Certifications: 17
• Awards: 3

 

 

Speaking Engagements:

• Keynote Speaker/Guest Speaker (National/International): 5

 

I am also pursuing my PG Diploma in Education Management and Administration from IGNOU, my PGCHM from the Symbiosis Centre for Distance Learning, and my Certification in Management Consulting from ICMCI. I have more than 37 publications in SCOPUS/WOS-indexed, UGC-CARE, and Peer-reviewed journals. I have presented my research papers at several National/ International Conferences hosted by Institutions like IIM-B, IIM-J, IIM-BG, LPU, BIT MESRA, Goa Institute of Management, Nirma University, University Putra Malaysia, Universitas Andalas, Indonesia, The American University in Cairo, and Firat University, Turkey, to name a few. 

 

Achievements, Honours and Associations

 

1.    "Most Distinguished Professor of Business Management": Honoured with an India Fame Award for “Most Distinguished Professor of Business Management” by Brand Impact at The Club, Mumbai, India.

2. “Teaching Excellence Award”: Nominated by Indian Education Congress in the 13th EdTech X Indian Education Awards 2024 organized by Entrepreneur India Magazine at Hotel Lalit, New Delhi.
3. “Outstanding Researcher (S) Grade from Council of Scientific and Industrial Research (CSIR-NEIST)”: Graded Outstanding Researcher (S) for research on Indian Pandemic Data and calculating Reproduction Number through Multi-pronged Approach.
4. Speaker at the 2^nd International Conference on Biomaterials and Biomedical Engineering: Delegated as a session speaker at the 2^nd International Conference on Biomaterials and Biomedical Engineering held on December 02, 2022, at Dubai.
5. Guest Speaker on Soft Skills & Personality Development: Invited to speak at Priyadarshini JL College of Pharmacy, Nagpur on soft skills and personality development.
6. Certificate of Appreciation for Ph.D. Pre-submission: Received recognition for outstanding research work and pre-submission of a Ph.D. thesis at Mittal School of Business, Lovely Professional University.
7. Membership Associations: Active memberships with “The International Council of Management Consulting Institutes” CMC Global for the e-DMC Program.

 

 

Academic Roles and Responsibilities as an Associate Professor

Nature of Services:

• Teaching: Delivering high-quality undergraduate and postgraduate courses in respective areas of expertise, using engaging and effective teaching methods.
• Research: Conducting original research that contributes to the field of Management & Commerce, and publishing findings in reputed journals and conferences.
• Mentorship: Guiding and supporting students in their academic and professional development through individual consultations, thesis supervision, and career guidance.
• Curriculum Development: Designing and updating course content to reflect the latest developments in the industry and academic field.
• Industry Collaboration: Developing partnerships with businesses and organizations to provide students with internship opportunities and practical learning experiences.

Products:

• Textbooks and Teaching Materials: Authoring or contributing to textbooks, case studies, and other teaching materials used in different courses.
• Research Publications: Publishing articles, books, and reports that share our research findings with the academic community and contribute to knowledge in relevant fields.
• Conference Presentations: Presenting our research findings at national and international conferences to disseminate knowledge and gain feedback from peers.
• Consultancy Services: Providing consulting services to businesses and organizations based on my expertise in Management and commerce.

My Role:

• Knowledge Dissemination: Imparting knowledge and skills to students through effective teaching and mentoring.
• Knowledge Creation: Researching to generate new knowledge and contribute to the advancement of the field.
• Bridging the Gap: Connecting industry needs with academic programs through curriculum development, student placements, and industry collaborations.
• Shaping the Future: Influencing the development of future generations of professionals through teaching, research, and involvement in policy decisions.

Teaching Expertise:

• Masterful delivery: Engaging and dynamic teaching methods that cater to diverse learning styles, fostering critical thinking and active participation.
• Clear and concise communication: The ability to explain complex concepts understandably and engagingly, adapting explanations to different student needs.
• Innovative approaches: Incorporating technology, creative activities, and real-world applications to make learning relevant and meaningful.
• Effective assessment: Designing fair and meaningful assessments that measure student learning and provide valuable feedback for improvement.

Student Impact:

• Demonstrably improved student outcomes: Measurable evidence of students' academic growth and development attributable to my teaching.
• Strong student testimonials: Positive feedback from current and past students highlighting my impact on their academic journey and personal development.
• Mentorship and support: Cultivating a supportive learning environment and providing individual guidance to help students reach their full potential.
• Inspiring a love for learning: Fostering a sense of curiosity and intellectual engagement in my students, encouraging them to become lifelong learners.

Professional Contributions:

• Continued learning and development: Actively engaging in professional development opportunities to stay at the forefront of my field and enhance my teaching practices.
• Curriculum development and innovation: Playing a leading role in developing and updating course content to ensure it remains relevant and impactful.
• Research and scholarly activity: Conducting research and publishing findings in reputable journals or conferences, contributing to the advancement of knowledge in my field.
• Service to the education community: Participating in committees, mentoring other educators, and contributing to initiatives that improve educational quality.

• Demonstrated impact beyond the classroom: Involvement in extracurricular activities, community service, or leadership roles that showcase my dedication to student well-being and social responsibility.

Continued Research and Scholarship:

• Deepening my research into healthcare and pharma-economics, potentially focusing on emerging areas like AI-driven healthcare solutions or affordable healthcare technologies for developing countries.
• Securing research grants and collaborating with international scholars to further my research efforts and gain global recognition.
• Publishing my research findings in top academic journals and presenting them at prestigious conferences.

Advancement in Academia:

• Assuming new leadership roles in universities with top-notch research and academic facilities such as heading a department or research centre.
• Contributing to curriculum development and innovation, incorporating the latest trends in AI, Big Data, and healthcare management into academic programs.
• Mentoring junior faculty and guiding them in their academic and research pursuits.

Industry Collaborations:

• Bridging the gap between academia and industry by consulting with pharmaceutical and Healthcare-tech companies on branding, marketing, and technology adoption strategies.
• Developing and delivering executive education programs for industry professionals on topics like healthcare analytics and AI-powered business processes.
• Building strong industry partnerships to create real-world learning opportunities for his students.

Exploring Entrepreneurial Ventures:

• Leveraging my expertise in AI and healthcare to develop innovative solutions for the healthcare sector.
• Founding a startup focused on providing affordable healthcare technologies or data-driven marketing solutions for the pharmaceutical, and healthcare-tech industry.
• Inspiring my students to become entrepreneurial and contribute to solving healthcare challenges through technology.

 

Key Proficiencies of an Educator according to Prof. Dr. Mrinmoy Roy

 

Educators wear many hats, and the importance of certain skills can vary depending on the age group, subject matter, and educational setting. However, some essential skills remain constant:

1. Communication: This encompasses everything from clear and engaging explanations of complex topics to active listening and fostering open dialogue with students. Effective communication builds trust, encourages participation, and ensures understanding.

2. Subject Matter Expertise: While pedagogical skills are crucial, a strong grasp of the subject matter is critical. Educators who demonstrate deep understanding can answer questions with confidence, adapt lessons to diverse needs, and inspire curiosity in their students.

3. Instructional Design: Planning engaging and effective lessons requires strategic thinking and adaptation. Educators need to create lessons that cater to different learning styles, use a variety of instructional methods, and assess student comprehension throughout the learning process.

4. Classroom Management: Building a positive and productive learning environment involves establishing clear expectations, setting boundaries, and fostering respect. Educators need to be able to navigate diverse personalities, address disruptions constructively, and motivate students to be responsible learners.

5. Assessment and Feedback: Educators wear the hats of assessors, providing constructive feedback that helps students grow. This requires understanding various assessment methods, crafting feedback that is specific, actionable, and encouraging, and adapting assessments to diverse needs.

6. Lifelong Learning: The world of education is constantly evolving, requiring educators to stay updated on new research, teaching methods, and technologies. A commitment to continuous learning ensures educators can offer dynamic and relevant instruction.

7. Empathy and Patience: Building meaningful connections with students is essential for fostering a positive learning environment. Educators need to be empathetic to individual needs, patient with different learning paces, and able to create a safe space for mistakes and growth.

8. Collaboration and Teamwork: Educators rarely work in isolation. Collaboration with colleagues, parents, and other stakeholders is essential for a successful learning experience. This involves clear communication, active listening, and a willingness to learn from others.

9. Cultural Competence: Recognizing and respecting diverse backgrounds, experiences, and learning styles is crucial for equity and inclusion in the classroom. Educators need to be aware of their own biases and create inclusive learning environments that value all students.

10. Technology Integration: Technology can be a powerful tool for enhancing learning. Educators need to be comfortable using technology effectively for instruction, assessment, and communication while remaining mindful of its limitations and responsible use.