Shreyash Arya Email & Phone Number

Saarbrücken, Saarland, Germany

AI Research Engineer at CISPA's startup Detesia specializing in Machine Learning Explainability for Deep Fake Detection.

St. Ingbert, Saarland, Germany

Machine Learning Explainability in Deep Fake Detection. More details at https://detesia.com/about-us.

Saarbrücken, Saarland, Germany

Saarbrücken, Saarland, Germany

Explainable Machine Learning (XAI): Making pre-trained models inherently interpretable at Computer Vision and Machine Learning Group (D2) headed by Prof. Dr. Bernt Schiele.Past: Robustness and Generalization, Semi-Supervised Semantic Segmentation

Saarbrücken, Saarland, Germany

Worked in the Cognitive Assistants group on the MePheSTO project in collaboration with Inria, France.* Detection of psychiatric disorders using multi-modal data (video, speech, and text). * Gender Debiasing, Speaker Diarization, Automated Speech Recognition.

Saarbrücken, Saarland, Germany

Served as a board member of the AEGEE Kaiserslautern-Saarbrücken chapter (2022-23) for organizing and managing various events.

New Delhi Area, India

Worked in TCS Research Labs in Behavioural, Business and Social Sciences (BBS) group.* Explored Deep Generative Models (GANs), Reinforcement Learning (RL) and multi-agent user behaviour modelling using RecSIM with a goal to propose solutions to the cold start problem and to generalize across domains using meta-learning.* Developed and conducted a game theory-based experiment in an intramural event to study human behaviour involving cooperative and non-cooperative actions in different rewarding situations.* Investigated the theory and experiments involving complex contagion, false information and epidemic spread in the social networks. Modelled the spread and intervention strategies for novel coronavirus (COVID-19) at a microscopic level in India. (https://arxiv.org/pdf/2009.03168)* Worked on the spread of mental health decline during COVID-19 by identifying behavioural correlates and pathways for elderly wellbeing during the pandemic. Accepted full paper in British Academy of Management Conference, 2021 (https://virtual.oxfordabstracts.com/#/event/1821/submission/324).

New Delhi Area, India

Worked on the detection of collusive activities in online social media.

New Delhi Area, India

Worked on feature engineering and building classification pipeline for the detection of controversial posts on Reddit.

New Delhi Area, India

Completed my undergrad thesis - "Information Fusion in Location-Based Services" under the guidance of Dr. Ponnurangam Kumaraguru, Dr. Srikanta Bedathur, and Ms. Ankita Likhyani. The problem was to tackle entity (location) matching on different Location Based Services (LBSNs) such as Foursquare, Yelp, Zomato, and Trip Advisor. The extended application of entity matching task was to infer interesting patterns between rating and various attributes of the matched locations for credibility check.

New Delhi Area, India

Built a solution to enrich the educational video/text content for better learning usingNatural Language Processing, Information Retrieval, Data Mining, and Machine Learning techniques.

New Delhi Area, India

New Delhi Area, India

TA for Philosophy of Knowledge (POK) offered in Monsoon Semester'17 at IIITD.

New Delhi Area, India

The team of Swarath comprises of students and Professors of IIIT-Delhi and aims at buildingan environment-friendly autonomous car which would ultimately provide completeconnectivity in Indian cities. I was involved in the Planning and Control module, visualization and object detection module of the car.

New Delhi Area, India

Automated Interview System: Using the speech recognition and NLP techniques, an android based system which will totally automate the process of telephonic interviews.

New Delhi Area, India

Organising the Summer Camp'17, a social initiative of teaching low-income government school students at IIIT Delhi.

New Delhi Area, India

Internshala Student Partner (ISP) is a 6 months transformational program aimed at building the leaders of tomorrow. During this program, we learn to lead from the front and develop essential skills like marketing and communication while representing Internshala in our college and understand how it all comes together for a cause.

Master Of Science - Ms, Computer Science

[Thesis/NeurIPS'24] B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Notable courses: * Artificial.

Bachelor Of Technology (B.Tech.) Honors, Computer Science And Engineering

Activities and Societies: AudioBytes IIITD, Philosoc IIITD, Cultural Committee IIITDNotable positions of responsibility: - Student Mentor.