Dr. Vikas S. Chomal is a seasoned academic and researcher with a PhD in Computer Science (Software Engineering) from Singhania University. With over a decade of teaching and research experience in software engineering, data science, and business analytics, Dr. Chomal has contributed significantly to both academia and industry. He has held positions such as Assistant and Associate Professor at esteemed institutions and has been involved in curriculum development, research guidance, and administrative roles. His research focuses on software documentation, project management, and data science, and he has published extensively in international journals and conferences. Dr. Chomal is also an award-winning researcher, recognized for his contributions to knowledge management and software engineering.

Dr. Mahima Sharma is an Associate Professor in the Science and Humanities Department (Physics) of Compucom Institute of Technology and Management (CITM), Jaipur, Rajasthan. She received her Ph.D. Degree in Nanoscience and Nanotechnology from Amity Institute of Nanotechnology, Amity University Uttar Pradesh, Noida in 2020. Then worked as a Lecturer in Government Engineering College, Jhalawar Rajasthan for 3 Years. she is having 7 Years of Experience in the field of physics. Her Area of Expertise includes: Nanotechnology, Water Remediation, Nanocomposites, Functional Nanomaterials, Synthesis of Nanomaterials, Characterization of Nanomaterials, Photocatalysis, Adsorption.

Dr. Atul Vashist is an Associate Professor in the Department of Biotechnology, School of Engineering and Allied Sciences (SEAS), Bennett University (Times of India Group), Greater Noida, India. He is the former Principal Scientist in the Department of Infection and Immunology, Translational Health Science and Technology Institute (THSTI), Faridabad, Haryana, India. He received his Ph.D. Degree in Biotechnology from National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra and earned his postdoctoral from All India Institute of Medical Sciences, New Delhi and Cornell University, Ithaca, USA. He has more than 15 years of research and teaching experience for conducting laboratory sessions in Microbial Genetics, Molecular Biology and Recombinant DNA Technology. His Area of Expertise include infectious diseases, molecular biology, protein chemistry, mycobacteriology, nuclear medicine, hydrogel technology. To date, he is the author of 20 research articles published in peer reviewed international Journals and authored Five Book Chapters etc.

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 I am Dr S Lekha Priyanka, a Doctoral Degree Holder in Agricultural Entomology with 3 Years of Teaching Experience & ASRB NET Qualified.
 I can guide PG & PhD scholars in Agriculture for Thesis Writing & Data Analysis & Viva preparation.
 Though I have completed a doctoral degree in Entomology, I can guide for writing thesis in all disciplines of Agriculture.
 I can also handle Agriculture courses for B. Sc. (Agriculture) Students.
 I have handled all the Under Graduate courses in Agricultural Entomology & Plant Nematology & Plant Pathology.
 I can Teach in English, Tamil & Telugu.

Partha Majumdar is the Managing Director of Majumdar Consultancy Pvt Ltd, a distinguished career that spans various countries and industries. With a keen eye for pattern recognition, he has overseen the development of over 10 Enterprise Class products deployed across 57 countries. He has collaborated closely with key ministries in 8 nations and more than 20 enterprises, leaving a significant mark at organizations such as Siemens, Amdocs, NIIT, Mobily, and JP Morgan Chase & Co. notably, he not only led system development but also managed highly profitable business units. Partha’s entrepreneurial spirit is evident as he successfully established three companies by 2023, operating in India, Dubai, and Saudi Arabia. His expertise extends to designing OLTP systems for diverse sectors, including Telcos, Hospitals, Tea Gardens, Factories, Travel Houses, and even Cricket tournaments. Since 2012, Partha has been deeply immersed in Data Products, Machine Learning, and Deep Learning, consistently contributing his pattern-finding skills to the development of Rapid Development Tools. Partha’s unwavering commitment to lifelong learning is underscored by his educational journey, which began with a Mathematics degree and culminated in a Doctorate in Business Administration from the Swiss School of Business and Management in Geneva. Along this remarkable path, he earned master’s degrees in Telecommunications and Computer Security, executive MBAs in Information Systems and Business Analytics, and advanced certificates in AI/ML/DL, Cyber Security, and Computational Data Sciences from esteemed institutions, including Manipal Academy of Higher Education, IIT Kanpur, and IISc Bengaluru.

Dr. Subarna Thakur is an Assistant Professor in the Department of Bioinformatics at the University of North Bengal. She received her Ph.D. Degree in Botany from the University of North Bengal in 2014 and then worked as a Post Doc in various institutes like JNU, Bose Institute and IRHS, Angers, France for 4 Years. She is having more than 10 Years of Experience in the field of Computational Biology and Genomics. Her Area of Expertise includes NGS Data analysis, Transcriptomics, Network Biology. She is the author of 10 original research articles in high-impact peer-reviewed journals.

Dr. Rini Chaturvedi is a DST Inspire Faculty in the Department of Microbiology at the All India Institute of Medical Sciences, New Delhi. She received her Ph.D. Degree in Structural parasitology from ICGEB, New Delhi University in 2021 and earned her postdoctoral from university of ICGEB, New Delhi. She is having 13 Years of Experience in the field of Molecular medicine. Her Area of Expertise includes: Structural Parasitology, Drug Discovery, Public Health, Immunology, epigenetics. She is the author of 21 research articles, DST INSPIRE Faculty grant recipient, Young Scientist award, etc.

Dr. A. O. Surendranathan is a Retired Professor in the Metallurgical & Materials Engineering Department of National Institute of Technology Karnataka. He received his Ph. D. Degree in Metallurgical Engineering from Mangalore University in 1994. Then continued to work as a Lecturer (Senior Scale) in National Institute of Technology for 2 Years. He is having 41 Years of Experience in the field of Metallurgical & Materials Engineering. His Area of Expertise includes Powder Metallurgy, Super plasticity, Lithium Battery, and Corrosion. He is the author of a book entitled, “An Introduction to Ceramics and Refractories”, recipient of 7 Project Grants. 7 awards etc.

Mr. Selva Karthick M is a Quality Control Manager and Professor (Embryology Department) at OASIS Fertility, Hyderabad. He holds a B.Tech in Biotechnology and a PGDSCT in Stem Cells from Anna University and Loyola College (2005–2010). With 12 years of experience in IVF laboratories, he has worked as a Lab Manager and QC Manager, supporting quality systems and laboratory performance in assisted reproduction. His expertise spans stem cells, IVF lab quality management, and AI applications in reproductive medicine, and he has authored a book chapter on Artificial Intelligence in Assisted Reproductive Technology.

Akanksha Kamthe is a distinguished legal professional currently serving as the Director at Digsamvad, a pioneering organization in the field of cybersecurity, safety services, awareness programs, and digital marketing. With a robust career spanning over 15 years, she has demonstrated exceptional expertise in legal strategy and compliance across diverse international markets. Akanksha is a certified DCPLA (Certified Privacy Lead Assessor) by the Data Security Council of India.

A motivated, detail-oriented Data Science enthusiast with hands-on experience building and deploying machine learning and NLP solutions. Proficient in Python, data preprocessing, and model optimization, with a focus on turning complex data into actionable insights. Experienced in creating interactive Streamlit dashboards to showcase AI applications clearly and effectively. Currently seeking an internship or entry-level role in Data Science or AI Engineering to contribute analytical thinking, creative problem-solving, and strong collaboration skills in an innovation-driven team.