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Dr. Nitin is a recipient of IBM Drona Award and Top 10 State Award Winner. He is active member of professional society like Senior Member IEEE (USA), ACM, SIAM (USA), Life Member of CSI and other professional societies. He is reviewer of several prestigious Journals/Transactions like IEEE Transactions on Vehicular Technology, The Computer Journal, Oxford Press, many SPRINGER/other Scopus indexed International Journals. His research outlines emphasis on Network Coding, Interconnection Networks & Architecture and Online Phantom Transactions. Dr. Nitin has accorded several other awards for Best Paper Published, Session Chairs, Highest Cited author, Best Students Thesis Guided, and many others. Dr. Nitin has been instrumental in various Industrial Interfacing for Academic and Research at his previous assignments at various organisations. He is having 180+ publication in Scopus Indexed/SCI/High impact Journals and International Conferences. Dr. Nitin is guided five PhD students of various Universities and Industries. He has successfully guided several M.Tech and B.Tech students. Dr. Nitin was contributory in various prestigious Accreditations like NAAC, NBA, QAA, WASC, UGC, IAU, IET and others.
Research Interests & Expertise:
Broad Areas
- Networking
Specific Areas
- Network Coding
- Interconnection Networks & Architecture
- Online Phantom Transactions
Dr. Jagdish Chandra Patni is working as a Professor at SIT Nagpur, SIU Pune, India. Prior to SIU, he worked with Jain University Banglore, UPES Dehradun, and DIT University, Dehradun.
He did his Ph.D. in High-Performance computing in 2016. Completed his M. Tech. and B. Tech. in the years 2009 and 2004 respectively. He has more than 18 years of teaching and 7 years of administrative experience. Dr Patni is actively working in the research areas of AI, Machine Learning, Deep Learning, HPC, and Software Engineering. He has authored more than 80 research articles in journals and conferences of repute nationally and internationally.
Dr Patni has authored 10+ books with international publishers. He is an active Guest Editor/Reviewer of various referred international journals. 7 Indian patents/copyrights are granted and 21 patents are published in his credit. Currently, he is guiding 3 research scholars and guided more than 10 PG students. He is a reviewer for more than 10 International journals of repute. He has been awarded the Eminent Engineers Award by IEI, the Outstanding Performance Award 2022 by the Government of Uttarakhand & UCOST, Guru Siromani Award by PAAI Foundation India in 2023, the Professor of the Year 2023 by Edumatrix, the researcher Excellence award in year 2021 by Government of Uttarakhand & UCOST, Young Scientist Award 2021 by UCOST Dehradun and Divya Himgiri, Teacher of the year 2020 by Govt. of Uttarakhand, best paper award by Hosei University Tokyo, Japan in 2020 and many more.
He is a Fellow Institution of Engineers (India), a Senior member of IEEE, Member of ACM, MIE, IEANG, IACSIT, Vigyan Bharti, etc.
Research Interests & Expertise:
Broad Areas
- High Performance Computing
- Artificial Intelligence
- Machine Learning
- Internet of Things (IoT)
Specific Areas
- Cloud Computing
- Deep Learning
- Machine Learning
- Grid Computing

Nilesh Bhaskarrao Bahadure is working as an Associate Professor at SIT Nagpur. He received a Bachelor of Engineering degree in Electronics Engineering in 2000, a Master of Engineering degree in Digital Electronics in 2005, and a Ph.D. degree in Electronics in 2017 from KIIT Deemed to be University, Bhubaneswar, India. He has more than 20 years of experience. Dr. Bahadure is a life member of IE(I), IETE, ISTE, ISCA, SESI, ISRS, and IAENG professional organizations.
He has published more than 40 articles in reputed international journals and conferences and has 10 books to his credit. He is the reviewer of many indexed journals such as IEEE Access, IET, Springer, Elsevier, Wiley, etc. His research interests are in the areas of Sensor Technology, the Internet of Things, and Biomedical Image Processing.
Research Interests & Expertise:
Broad Areas
- Electronics Engineering
Specific Areas
- Biomedical image processing
- signal processing and Internet of Things
Dr. Latika Pinjarkar obtained a BE degree in Computer Technology from Nagpur University, MH in 1999 and an M. Tech degree in Computer Technology and Application from CSVTU, CG, India in 2008. She obtained her Ph.D. in Computer Science and Engineering from CSVTU CG, India in 2019. She has been engaged in research and teaching for more than 22 years. At present, she is an Associate Professor and Academic Head in the CSE Department at Symbiosis Institute of Technology Nagpur, Symbiosis International (Deemed University) Pune, MH, India.
She has presented more than 50 papers in International/National Journals/ Conferences and has 05 Patents to her credit. She has completed one research project sponsored by TEQIP-III. Her research interests include Image Processing, Computer Vision, Content-Based Image Retrieval(CBIR) and Machine Learning.
Research Interests & Expertise:
Broad Areas
- Computer Vision
- Machine Learning
Specific Areas
- Content Based Image Retrieval(CBIR)

Dr. Sudhanshu Maurya has been designated as an Associate Professor in the Department of Computer Science & Engineering at Symbiosis Institute of Technology, Nagpur, a constituent of Symbiosis International (Deemed University), Pune. He is currently a visiting postdoctoral researcher at the University of Luxembourg, Europe. He has completed his postdoctoral research at the School of Computer & Communication Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, Perlis, Ministry of Education, Malaysia. He has completed his Ph.D. in Computer Science, special focus on “Security and Privacy Aspects of Mobile Cloud Computing”. He is also associated with the Centre of Artificial Intelligence & Robotics (CAIR), IIT Mandi for his research on AI. He obtained his M. Tech CSE from Hemvati Nandan Bahuguna Garhwal University (A Central University), Srinagar, Uttarakhand, India.
His area of research is dedicated to Artificial Intelligence, IoT, and cloud computing. Currently, he has edited 3 books, 4-course books, 2 international patents (Granted), 12 Indian patents, and authored or co-authored more than 90 research papers indexed in SCOPUS, Web of Science (SCI/SCIE/ESCI), ACM, IEEE conferences, or UGC-approved journals.
Research Interests & Expertise:
Broad Areas
- Artificial Intelligence
- Cloud Computing
- Internet of Things
- Blockchain
Specific Areas
- Security & Privacy Aspects
- Energy Efficiency of IoT Devices
- Optimization
- Cyber Security on UAVs
- Fog & Edge Computing

Dr. Sagarkumar Badhiye is a dedicated and passionate Assistant Professor (Sr. Grade) with over 12 years of experience in the field of Computer Science and Engineering. He holds a Doctor of Philosophy (Ph.D.) degree in Computer Science and Engineering from Sant Gadge Baba Amravati University, Amravati. Dr. Badhiye's expertise lies in various areas, including Theoretical Foundations of Computer Science, Compiler Design, Natural Language Processing (NLP), Data Science, and Time Series Analysis using Python and R.
Throughout his career, Dr. Badhiye has demonstrated a strong commitment to education and academic excellence. He has a track record of fostering student development by organizing coding competitions, guest lectures, and workshops, enhancing students' programming skills. His contributions extend beyond the classroom, where he has facilitated collaborations and signed MoUs between academic institutions and industry partners, he also played an important role in establishing ACM Students Chapter and GDSC club at his institute.
In addition to his teaching and mentoring roles, Dr. Badhiye is an accomplished researcher with numerous publications to his name. He has actively contributed to the academic community through expert talks, workshops, and certifications related to Python, Data Science, and Machine Learning.
Dr. Badhiye's dedication, expertise, and leadership in the field of Computer Science make him an invaluable asset in both academia and industry.
Research Interests & Expertise:
Broad Areas
- Computer Science and Engineering
- Information Technology
- Machine Learning and Deep Learning
- Data Science
Specific Areas
- Time Series Analysis
- Forecasting
- Automata Theory
- Compiler Design
- Natural Language Processing

Dr. Poorva Agrawal obtained her Ph.D. degree in Computer Science and Engineering from Symbiosis International (Deemed University), Pune, India in 2020. She obtained her M.Tech degree in Computer Science and Engineering from SGSITS, Indore, India in 2012.
She has been engaged in research and teaching for more than 12 years. At present, she is working as a Senior Assistant Professor in the CSE Department at Symbiosis Institute of Technology Nagpur, Symbiosis International (Deemed University) Pune, MH, India. She has presented more than 20 papers in International/National Journals/ Conferences. Her research interests include Artificial Intelligence, Machine Learning, Data Science, Image Processing, and Computer Vision.
Research Interests & Expertise:
Broad Areas
- Soft Computing
- Artificial Intelligence
- Data Science
Specific Areas
- Image Processing
- NLP
- Computer Vision

1. Paper published in various International journals of repute, International and National Conferences.
2. Authored Book(3)( 02- Regional, 01-International).
3.Edited Books(3).
4. Patent Granted (01 International, 01(in Process) National)
5. Patent Published(03 National), Copyright published.
6. Grant (AICTE-ISTE - For Refresher Program).
7. Worked as a member in Syllabus Revision.
8. Worked as a member of the LEC Committee.
9. Interview panel members.
Research Interests & Expertise:
Broad Areas
- High Performance Computing
- Parallel Computing
- Bioinformatics
- Theory of Computation
- Machine Learning
Specific Areas
- High Performance Computing
- Parallel Computing
- RNA Prediction

Nilesh Shelke is an Assistant Professor (Sr. Grade) in the Computer Science & Engineering Department of Symbiosis Institute of Technology, Nagpur. He has completed an M. Tech. in Computer Science and Engineering from RTM Nagpur University. He has an M. Phil in Computer Science and also acquired a Ph.D. degree in Computer Science & Engg from S.G.B. Amravati University, Amravati.
His topic was “Emotion Extraction from Natural Text” He is a Microsoft Certified Solution Developer and has more than 24 years of experience in imparting IT Training which includes learners from different streams, faculties, and Microsoft Certifications to corporate employees. He has published patents, copyrights, and sellable technical articles in renowned journals. He is also the reviewer of several journals
His latest books published are: Introduction to Machine Learning and An Introduction to Artificial Intelligence & Machine Learning Both are available on Amazon and Flipkart.
Research Interests & Expertise:
Broad Areas
- AI/ML/DL
Specific Areas
- NLP

Gagandeep Kaur completed her Ph.D. degree in Computer Science and engineering from LPU, Punjab, India. She has been engaged in research and teaching for more than 11 years. At present, she is working as an Assistant Professor in the CSE Department at Symbiosis Institute of Technology Nagpur, Symbiosis International (Deemed University) Pune, MH, India. She has presented more than 20 papers in International/National Journals/ Conferences and written some book chapters. Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, and, Data Science.
Research Interests & Expertise:
Broad Areas
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Data Science
Specific Areas
- Natural Language Processing
- Computer Vision
- Image Processing
Dr. Heranmoy Maity earned his PhD from the National Institute of Technology Durgapur, India in 2021 and he obtained his M.Tech degree in Electronics and Communication Engineering from Kalyani Govt. Engineering College in Kalyani, West Bengal, India in in 2010. His teaching experience is around 15 years.
Currently, Dr. Maity holds the position of an assistant professor in the Department of Computer Science and Engineering at Symbiosis Institute of Technology, Nagpur, under the Symbiosis International University in Pune, India. His academic journey has been extensive and illustrious, highlighted by an impressive portfolio that includes more than 20 research papers and 6 patents. Dr. Maity's research interests are Quantum Computing, Reversible Logic Design, Digital System Design, Antenna Technology, and Electronic Devices and Circuits.
Research Interests & Expertise:
Broad Areas
- Quantum Computing
Specific Areas
- Quantum Computing
- Reversible Logic Design
- Digital System Design
- Electronic Devices and Circuits

Monali Vijay Gulhane is a highly accomplished professional with an extensive background in the field of Computer Science and Engineering, specializing in Artificial Intelligence and Machine Learning. With 9 years and 2 months of professional experience, she currently serves as a Teaching Associate at Symbiosis Institute of Technology in Nagpur. Previously, she held the position of UGC Approved Assistant Professor in Computer Science and Engineering at Jhulelal Institute of Technology for 8 years and 7 months.
Monali's academic achievements are commendable, including a Ph.D. in Artificial Intelligence and Machine Learning from K L Deemed to be University, where her research focused on predicting human diseases using machine learning techniques. She also holds a Master's degree (M.Tech) in Computer Science and Engineering, where her research was centered on an intelligent fatigue detection system for train pilots using embedded systems. Furthermore, she obtained her Bachelor's degree (B.Tech) in Computer Science and Engineering and a Diploma in Computer Engineering. Her contributions extend beyond academia, with Indian patents and copyrights to her name. Monali is a prolific author with several book chapters and research papers published in renowned journals and conferences.
She received the Young Researcher Award in 2021 and has been actively involved in conducting workshops, guest lectures, and faculty development programs. Monali is a member of prestigious professional societies and has a strong commitment to lifelong learning. Her expertise in artificial intelligence and machine learning, along with her dedication to education and research, make her a valuable asset in the field of computer science.
Research Interests & Expertise:
Broad Areas
- Deep Learning
- Web Development
- Internet of Things (IoT)
- Data Analytics
Specific Areas
- Deep Learning Face Recognition
- Deep Learning Disease Prediction

I am Muktinath Vishwakarma, a dedicated educator and problem solver. My academic journey includes achieving a Master of Technology (M.Tech.) in Computer Science and Engineering from the renowned Indian Institute of Technology, Kanpur. During my academic pursuits, I delved into groundbreaking research by proving Real Analysis theorems using Dependent Type Programming Languages, with a specific focus on "Bolzano Weierstrass Theorem" and "Heine Borel Theorem."
My commitment to education extends to my extensive teaching experience. I've had the privilege of serving as a Teaching Assistant at IIT Kanpur and as a Course Tutor for ESC101, where I had the responsibility of guiding and assessing students. For seven years, I served as the Director and Faculty at The Altius Classes, emphasizing the delivery of quality education, particularly in GATE and CRT preparation.
In my current role as a Teaching Assistant Professor at Symbiosis Institute of Technology, Nagpur, I continue to inspire and educate the next generation. Throughout my journey, I've earned accolades such as the "Best Innovative Project Award" and distinctions in programming competitions, showcasing my multifaceted talents. My relentless pursuit of teaching and my passion for pushing boundaries align with my goal of achieving the seemingly impossible.
Research Interests & Expertise:
Broad Areas
- Theoretical Computer Science and Programming.
Specific Areas
- Data Structures
- Algorithms
- Applied Machine Learning

1. Teaching Associate at Symbiosis Institute of Technology, Nagpur.
2. Assistant Professor at the Department of Computer Science and Engineering, RCERT, Chandrapur, from July 1, 2018, to April 12, 2023.
3. Assistant Professor (Adhoc) at the Department of Computer Technology, RCERT, Chandrapur, from July 1, 2014, to June 30, 2018.
4. Assistant Computer Operator (Network Administrator) at the Department of Computer Technology, RCERT, Chandrapur, from September 1, 2005, to June 30, 2014.
5. SYSTEM ENGINEER at RIIT-ART Centre, RCERT, Chandrapur, from April 2000 to August 31, 2005.
6. SYSTEM ENGINEER at C-DAC Centre (in association with RIIT-ART, Chandrapur) at Rajiv Gandhi College of Engineering Research and Technology (RCERT), Chandrapur, from November 1, 1999, to March 2000.
Research Interests & Expertise:
Broad Areas
- enrolled Ph.D in Cloud Computing & My expertise is in Computer Networking
Specific Areas
- Cloud Computing

Dr. Ramdas Bhagvan Khomane is currently working as a Senior Assistant Professor in the Department of Computer Science and Engineering at Symbiosis Institute of Technology, Symbiosis International (Deemed University), located in Nagpur Campus, India. He received his Ph.D. in Chemistry from Savitribai Phule Pune University (CSIR-National Chemical Laboratory, Pune), India, in 2003. His research areas of interest are metal oxide nanomaterials, carbon-based nanoparticles, nano zeolites, nano adsorbents, semiconductor nanoparticles, polymeric membranes for water treatment, catalysis, carbon dioxide sequestration, and lithium-ion battery performance.
He has made significant contributions to the scientific community, with over twenty-three research articles published in peer-reviewed SCI and Scopus-indexed journals and one chapter in an encyclopedia. Furthermore, his innovative work has led to the invention of one US patent and three Indian patents. As evidence of his impact, his H-index stands at 17, with approximately 1000 total citations. He has mentored fifteen M.Tech./M.Sc. students project dissertations successfully.
He is a recipient of many prestigious awards, viz. Research Fellow Award (Post Doc) by NUS, Singapore; Fast-track Young Scientist Award by DST, India; Senior Research Fellow, Senior Research Associate, Quick Hire Scientist Award by CSIR, Government of India, and US Patent Award by NCL Research Foundation. He is a reviewer of reputed journals and reviewed more than fifty research articles. He also served as the Program Chair/Co-Chair at the International Conferences. He has delivered several invited talks. He is a life member of several scientific bodies.
Research Interests & Expertise:
Broad Areas
- Nanoscience and Nanotechnology
Specific Areas
- Nanostructured Materials and Applications

I am Dr. P. D. Shobhane working as Assistant Professor in Mathematics at Symbiosis Institute of Technology., Nagpur. I earned my Post Graduate Degree, M.Sc. (Mathematics) from Nagpur University in the Year 1990 and my Ph.D. in Mathematics from Gondwana University, Gadchiroli in 2018.
Authored 4 books on Mathematics, namely, 1. Engineering Mathematics (11th Edition, 2023).
2. Engineering Mathematics, Vol.- I (2018),
3. Modern Algebra (1994), and
4. Differential Calculus (1994),
Received a Travel Grant from AICTE in 2010 to attend an International Conference, ICMS,2010 at Bolu, Turkey.
Published a total of 7 research papers in National/ International Journals (Including 1 SCI +
1 SCOPUS + 2 WEB OF SCIENCE) and published 8 research papers at the National/ International Conference.
Association with Research Centre:
Helped the research scholars registered at Priyadarshini College of Engineering Research Centre recognized by RTM Nagpur University in solving Optimization and reliability of experimental/ field data-based models evolved during the execution of six
various research programmes during 2007-09.
Worked as Chairman for ‘Workshop on Syllabus Redesigning of Applied Mathematics III & IV’ organized by S. B. Jain College of Engineering, Nagpur.
Delivered Invited Talks
1. Optimization Methods & its Application to Case Study in Short-term Training Program on Research Methodology at Bhilai Institute of Technology, Bhilai on
25th Sept, 2008.
2. Optimization of Experimental Data-Based Model’ in Short-term Training
program at Manoharbhai Patel Institute of Engineering & Technology, Gondia
on 7th Nov, 2003.
Guest Lectures for UG & PG Students:
Visited many 9-10 colleges to deliver guest lecturers on Mathematics and its Applications
and to guide the students appearing for GATE under the AICTE- Prerana Scheme:
Organizational skills:
• Convener, Mathematica- 2007, an Annual Intercollegiate aptitude Test on
Mathematics which includes MATLAB sessions.
• Convener, Sankhya- 2005, a paper presentation competition on Applications of
Mathematics in Engineering and technology to develop soft skills & technical
knowledge among BE students.
Association with RTM Nagpur University
• Chairperson, Orientation Programme for Mathematics Teachers, in coordination with Applied Science & Humanities Board of RTM Nagpur University, organized at Anjuman College of Engineering on 3rd June 2021.
• Chairperson, Workshop on Syllabus Redesigning of BE 1st year Applied Mathematics I & II, in coordination with Applies Science & Humanities Board of RTM Nagpur University, organized at PCE on 2nd Dec. 2020.
• Chairman, Workshop on Syllabus Redesigning of Applied Mathematics III & IV’ organized by S. B. Jain College of Engineering, Nagpur in coordination with RTM Nagpur University on 11 June 2013
• Member, of the College Affiliation Committee of RTM Nagpur University from 2008-11.
• VC Nominee/ Subject Expert for Mathematics for selection procedure in various Engineering Colleges during 2009-2014.
• Co-opted Member of the Subject Examination Committee for Moderation of Question Papers.
• Setter, Valuer & Moderator of Applied Mathematics of BE 1st Year, 2nd Year & M. Tech. (MED).
• Officer In charge of RTM Nagpur University Examination W-2005 & S- 2006 at PCE and
S-2011 at RGCER.
• Co-officer in charge (5 times) of RTM Nagpur University Examination at Radhikatai Pandao College of Engineering, Priyadarshini Institute of Technology, Bhagwati College of Engineering, Nagpur.
• Core Committee Member, National Symposium on Mathematical Sciences, organized by Department of Mathematics, RTM Nagpur University during 1-5 March, 2001.
• Organizing Committee member, One Day Workshop on Sophisticated Analytical Instruments, organized by S.A.I.F., RTM Nagpur University on 22nd Sept 2008.
• Organizing Committee member, One Day Colloquium on Global Partnership for Frontiers in Technical Education, organized by RTM Nagpur University on 27th Sept, 2007.
STTP/ Workshops Organized for Faculties:
• ‘Cognitive Internet of Things with Mathematical Modelling’, One Week STTP during 16-21 Dec 2019 in collaboration with the Department of Computer Science & Engineering and the Department of Information Technology.
• ‘Discrete Mathematics and Graph Theory using Python Programming and SageMath’, Three Days STTP, during 24-26 April 2019 in collaboration with the Department of Information Technology.
• ‘Discrete Mathematics and Graph Theory Using Open-Source Software SageMath’, One Day Workshop on 19th April 2018 in collaboration with the Department of Information Technology.
• ‘Improvement in University Results of Applied Mathematics’, Five Days Workshop for Faculties of Mathematics under Meghe Group of Institutions, during 25-29 June 2012 in collaboration with the Department of Mathematics, YCCE, Nagpur.
Research Interests & Expertise:
Broad Areas
- Theory of Relativity & Cosmology
- Boundary Value Problems
- Optimization Techniques
Specific Areas
- Theory of Relativity & Cosmology
I, Dr. Gopal Kumar Gupta, did my Master’s in Mathematics from the Banaras Hindu University, Varanasi, Uttar Pradesh, India, in the year 2011. I completed my Ph.D. degree in the year 2019 from the Department of Mathematical Sciences, Indian Institute of Technology, Banaras Hindu University, Varanasi, Uttar Pradesh, India. I have worked as a Guest faculty in the Department of Mathematics, at Mahatma Gandhi Central University Motihari, Bihar, India.
Research Area: Stochastic Modelling, Queueing Theory. I have started my research career at IIT BHU Varanasi. Since then, I have been working in the area of "Stochastic modeling and analysis of continuous time queueing systems". My main research interests include performance analysis of finite or infinite buffer vacation queuing models with bulk service. I have published research papers in various SCI/Scopus journals such as the Quality Technology & Quantitative Management, International Journal of Operational Research, International Journal of Applied and Computational Mathematics, and International Journal of Mathematics in Operational Research, etc.
I have worked on queues with bulk and non-bulk arrival/service, queueing systems with vacations, queuing models with correlated arrivals MAP/BMAP, etc. Currently, I am working in the areas of fuzzy queueing theory and optimization problems along with Fuzzy Neural Networks. I am looking forward to collaborating with active researchers to explore some new thrust areas in Interdisciplinary research.
Research Interests & Expertise:
Broad Areas
- Operation Research
- Queueing Theory
- Fuzzy Neural Network
- Fuzzy Queueing Theory
Specific Areas
- Stochastic Modelling

Dr. Pramod Pandey is an Assistant Professor of Physics at the Faculty of Engineering, SIT Nagpur. Prior to joining SIT Nagpur, he served as a Scientist at the Korea Atomic Energy Research Institute in Daejeon South Korea.
He is the recipient of the most prestigious European Union Marie Curie fellowship and worked as a Marie Curie Post-Doctoral Fellow at the National Centre for Plasma Science and Technology/School of Physical Sciences, Dublin City University Dublin Ireland. He served as a Research Establishment Officer at IIT Kanpur and developed a high-power Class IV laser facility/laboratory for several research applications. He also has experience of corporate sector R&D. Apart from his academic and Industrial exposure; he also served at MNNIT Allahabad as a Guest lecturer (Physics) and Physics Tutor at IIT Kanpur and IIT Jodhpur.
Research Interests & Expertise:
Broad Areas
- Study of Laser Matter Interaction
- Laser Plasma Diagnostic and Applications
- VIS/UV, X-ray Imaging and Spectroscopy
Specific Areas
- Study of metallic nanoparticles/nanocomposite formation using laser-induced colliding plasma.
- Laser wake field accelerator (LWFA) for energized particles for further applications.
- Design of optical setup/ instruments for several specific applications

Sneha Thomas is an academic professional with a strong commitment to excellence. She holds a 99.5 percentile in the UGC-NET and successfully passed the SET. She secured the second rank in her Master's program and received an Academic Valedictorian Scholarship during her undergraduate studies.
Sneha actively contributes to the academic community, having served as a Rapporteur and Coordination Committee Member and moderator Sciences of various international conferences. Currently pursuing her Ph.D. at SPPU - University of Pune, her research interests encompass Digital Ethnography, Gender Studies, Cultural Studies, and Computational Linguistics.
Her leadership role as the head of NACC Criteria Level 4 at the institutional level and as a representative at the university level and participation in the AQAR team have greatly contributed to her academic and professional role.
Research Interests & Expertise:
Broad Areas
- Digital Ethnography
- Gender Studies
- Cultural Studies
- Computational Linguistics
Specific Areas
- Digital Ethnography
- Gender Studies
- Cultural Studies
- Computational Linguistics