Mr. Sandeep Khanna is an Assistant Professor – Computer Science at FLAME University. Mr. Sandeep Khanna has submitted his thesis for a Doctorate Degree in Computer Science and Engineering to Indian Institute of Technology Jodhpur. He holds a Master’s Degree in Computer Engineering from DAVV University, Indore. He has completed his Bachelor’s Degree in Computer Science and Engineering from RGPV University Bhopal.

His academic career in the Department of Computer Science and Engineering began with several key faculty roles before he pursued his doctorate. Specifically, he served as an Assistant Professor for three and a half years at PSIT Kanpur and then for two and a half years at Padm Dr. VB Kolte COE, Malkapur. He was Teaching Assistant at IIT Jodhpur across various academic programs. Building on his expertise, Mr. Khanna also served as a trainer for multiple universities, where he designed instructional content and conducted practical sessions focusing on Machine and Deep Learning. This academic and training journey was preceded by his first professional role after graduation, where he worked for one year as a Developer at JS Informatics, Indore.

His research work has been widely recognized, with publications in journals, patents and at international conferences/workshops. Notable works include studies on computer vision and social network analysis in Food Computing, Abstract Visual Reasoning and Document Image Analysis.

His research interests include Incremental Learning, Machine Unlearning, Document Image Analysis, Computer Vision and Social Network Analysis, Generative-AI. He is open for collaboration in these research areas for both FLAME students and outside researchers.

Publications

• Sandeep Khanna, Chiranjoy Chattopadhyay, Suman Kundu: Enhancing Fruit and Vegetable Detection in Unconstrained Environment with a Novel Dataset, Scientia Horticulturae, 2024 (https://doi.org/10.1016/j.scienta.2024.113580)


• Sandeep Khanna, Chiranjoy Chattopadhyay, Suman Kundu: An Efficient Seed-Initialized Algorithm for Maximal Clique Enumeration and Its Applications, SN Computer Science,2025(https://doi.org/10.1007/s42979-025-04271-z)

Accepted

• Amresh Kumar Singh, Sandeep Khanna, Chiranjoy Chattopadhyay, Suman Kundu: Advancing Abstract Reasoning for RPMs with a Path Aggregation Network and Deep Predictive Reasoning, Machine Vision and Applications, 2025


• Sandeep Khanna, Chiranjoy Chattopadhyay, Suman Kundu: FLICSNet: A Novel Framework for Cooking Action Segmentation from Video, International Workshop on Multi-modal Food Computing ACM Multimedia (MM 2025), Dublin, Ireland


• Sandeep Khanna, Suman Kundu, Chiranjoy Chattopadhyay: Are Food Ingredient Social? An Empirical Investigation, Data Science, 2025


• Ansh Kushwaha, Sandeep Khanna, Chiranjoy Chattopadhyay, Suman Kundu Non-Linear Audio-Visual Storytelling from Scanned Comics: A Character-Centric Approach, ICDAR Workshop 2025, Wuhan, China

Patent

• Chiranjoy Chattopadhyay, Rahul Kumar Ray, Sandeep Khanna, An artificial intelligence-based system for piano learning in augmented reality (XR), German Patent, 2025


• (https://patents.google.com/patent/DE202022101601U1/en?oq=DE202022101601U1)

Working Papers

• Recipe Preparation Guidance through Multimodal System


• Enhancing Diagrammatic Reasoning with FPN and Attention for Solving RPM-Style Problems


• IndicChargrid: A Character Grid-Based Approach for Spatially-Aware Information Extraction in Indian Language Documents

Conference Presentations

• Sandeep Khanna, Chiranjoy Chattopadhyay, Suman Kundu: INDoRI: Indian Dataset of Recipes and Ingredients and Its Ingredient Network, International Conference on Complex Networks and Their Applications, 2023 (https://doi.org/10.1007/978-3-031-53472-0_20), Menton, France


• Sandeep Khanna, Shreya Goyal, Chiranjoy Chattopadhyay, Suman Kundu: CookingINWild: Unleashing the Challenges of Indian Cuisine Cooking Videos for Action Recognition, CODS-COMAD '24: Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)2024, Bangalore, India (https://doi.org/10.1145/3632410.3632429)


• Sandeep Khanna, Atanu Saha, Rahul Kumar Ray, Rakesh Patibanda, Chiranjoy Chattopadhyay: From Notes to Keys: A VR Learning Environment for Sheet Music Interpretation, International Conference on Document Analysis and Recognition, 2025, Wuhan, China (https://doi.org/10.1007/978-3-032-04624-6_2)

Awards and Honors

• Received Travel Grant from Academic Research and Careers for Students (ARCS) Symposium held at NISER Bhubaneshwar, 2024


• Received ACM travel grant for attending and presenting paper at conference CODS-COMAD held at IIIT Bangalore, 2024


• Received ACM travel grant for attending conference CODS-COMAD held at IIT Bombay, 2023


• Received best TA award for the course “Pattern Recognition and Machine Learning” from the Department of CSE at IIT Jodhpur, 2023


• Received Travel grant from ACM for attending Third Indian Symposium on Machine Learning (IndoML), IIT Gandhinagar, 2022


• Received student scholarship from ACM for attending and presenting poster at 14th Asian Conference on Machine Learning, ISB Hyderabad, 2022


• Received Student Scholarship to attend Research Week with Google, 2022


• Received Most Dynamic Faculty of the Department of Computer Science award in Teaching and Training Category at PSIT Kanpur, 2018-2019


• Qualified GATE exam in the year 2011 and 2013 respectively in Computer Science and Engineering Subject